From a488ec83427f81a80d0380437ef49fa1875e6693 Mon Sep 17 00:00:00 2001 From: iftaken Date: Tue, 20 Sep 2022 14:50:19 +0800 Subject: [PATCH] use cmd for voiceclone , finetune and ernie-sat --- demos/speech_web/.gitignore | 3 + demos/speech_web/README.md | 141 ++++- demos/speech_web/docs/效果展示.png | Bin 86155 -> 108750 bytes .../speech_server/conf/tts_finetune.yaml | 12 + demos/speech_web/speech_server/main.py | 27 +- .../speech_web/speech_server/requirements.txt | 11 +- .../speech_web/speech_server/src/ernie_sat.py | 182 ++++++ .../speech_web/speech_server/src/finetune.py | 94 +++ .../speech_server/src/ge2e_clone.py | 59 ++ .../speech_server/src/tdnn_clone.py | 56 ++ demos/speech_web/speech_server/src/util.py | 19 + demos/speech_web/speech_server/vc.py | 547 ++++++++++++++++++ demos/speech_web/web_client/package.json | 4 +- demos/speech_web/web_client/src/api/API.js | 20 + demos/speech_web/web_client/src/api/ApiVC.js | 88 +++ .../src/components/Content/Header/Header.vue | 2 +- .../src/components/Content/Header/style.less | 1 + .../web_client/src/components/Experience.vue | 13 + .../SubMenu/ENIRE_SAT/ENIRE_SAT.vue | 487 ++++++++++++++++ .../components/SubMenu/FineTune/FineTune.vue | 427 ++++++++++++++ .../SubMenu/VoiceClone/VoiceClone.vue | 379 ++++++++++++ demos/speech_web/web_client/src/main.js | 4 + demos/speech_web/web_client/yarn.lock | 5 + 23 files changed, 2562 insertions(+), 19 deletions(-) create mode 100644 demos/speech_web/speech_server/conf/tts_finetune.yaml create mode 100644 demos/speech_web/speech_server/src/ernie_sat.py create mode 100644 demos/speech_web/speech_server/src/finetune.py create mode 100644 demos/speech_web/speech_server/src/ge2e_clone.py create mode 100644 demos/speech_web/speech_server/src/tdnn_clone.py create mode 100644 demos/speech_web/speech_server/vc.py create mode 100644 demos/speech_web/web_client/src/api/ApiVC.js create mode 100644 demos/speech_web/web_client/src/components/SubMenu/ENIRE_SAT/ENIRE_SAT.vue create mode 100644 demos/speech_web/web_client/src/components/SubMenu/FineTune/FineTune.vue create mode 100644 demos/speech_web/web_client/src/components/SubMenu/VoiceClone/VoiceClone.vue diff --git a/demos/speech_web/.gitignore b/demos/speech_web/.gitignore index 54418e60..1e961a38 100644 --- a/demos/speech_web/.gitignore +++ b/demos/speech_web/.gitignore @@ -13,4 +13,7 @@ *.pdmodel */source/* */PaddleSpeech/* +*/tmp*/* +*/duration.txt +*/oov_info.txt diff --git a/demos/speech_web/README.md b/demos/speech_web/README.md index 3b2da6e9..87a92583 100644 --- a/demos/speech_web/README.md +++ b/demos/speech_web/README.md @@ -6,12 +6,23 @@ PaddleSpeechDemo 是一个以 PaddleSpeech 的语音交互功能为主体开发 主要功能： +`main.py` 中包含功能 + 语音聊天：PaddleSpeech 的语音识别能力+语音合成能力，对话部分基于 PaddleNLP 的闲聊功能 + 声纹识别：PaddleSpeech 的声纹识别功能展示 + 语音识别：支持【实时语音识别】，【端到端识别】，【音频文件识别】三种模式 + 语音合成：支持【流式合成】与【端到端合成】两种方式 + 语音指令：基于 PaddleSpeech 的语音识别能力与 PaddleNLP 的信息抽取，实现交通费的智能报销 +`vc.py` 中包含功能 ++ 一句话合成：基于 GE2E 和 ECAPA-TDNN 模型的一句话合成方案，可以模仿输入的音频的音色进行合成任务 + + GE2E 音色克隆方案可以参考： [【FastSpeech2 + AISHELL-3 Voice Cloning】](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/vc1) + + ECAPA-TDNN 音色克隆方案可以参考: [【FastSpeech2 + AISHELL-3 Voice Cloning (ECAPA-TDNN) +】](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/vc2) + ++ 小数据微调：基于小数据集的微调方案，内置用12句话标贝中文女声微调示例，你也可以通过一键重置，录制自己的声音，注意在安静环境下录制，效果会更好，你可以 + ++ ENIRE-SAT：语言-语音跨模态大模型 ENIRE-SAT 可视化展示示例，支持个性化合成，跨语言语音合成（音频为中文则输入英文文本进行合成），语音编辑（修改音频文字中间的结果）功能 + 运行效果： ![效果](docs/效果展示.png) @@ -20,18 +31,130 @@ PaddleSpeechDemo 是一个以 PaddleSpeech 的语音交互功能为主体开发 ### 后端环境安装 +Model 中如果有模型之前是已经下载过的，就不需要在下载了，引一个软链接到 `source/model` 目录下就可以了，不需要重复下载 + ``` # 安装环境 cd speech_server -pip install -r requirements.txt +pip install -r requirements.txt -i https://mirror.baidu.com/pypi/simple -# 下载 ie 模型，针对地点进行微调，效果更好，不下载的话会使用其它版本，效果没有这个好 +mkdir source cd source + +# 下载 wav +wget https://paddlespeech.bj.bcebos.com/demos/speech_web/wav_vc.zip +unzip wav_vc.zip + +# 下载相关模型 mkdir model cd model + +# 下载IE模型 wget https://bj.bcebos.com/paddlenlp/applications/speech-cmd-analysis/finetune/model_state.pdparams + + +# 如果不需要 vc.py 的相关功能，可以跳过下面这些模型 +# 下载 GE2E 相关模型 +wget https://bj.bcebos.com/paddlespeech/Parakeet/released_models/ge2e/ge2e_ckpt_0.3.zip +unzip ge2e_ckpt_0.3.zip +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_aishell3_ckpt_0.5.zip +unzip pwg_aishell3_ckpt_0.5.zip +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_aishell3_vc1_ckpt_0.5.zip +unzip fastspeech2_nosil_aishell3_vc1_ckpt_0.5.zip + +# 下载 TDNN 相关模型 +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_ckpt_vc2_1.2.0.zip +unzip fastspeech2_aishell3_ckpt_vc2_1.2.0.zip + +# 下载 SAT 相关模型 + +# aishell3 +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/ernie_sat/erniesat_aishell3_ckpt_1.2.0.zip +unzip erniesat_aishell3_ckpt_1.2.0.zip + +# vctk +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/ernie_sat/erniesat_vctk_ckpt_1.2.0.zip +unzip erniesat_vctk_ckpt_1.2.0.zip + +# aishell3_vctk +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/ernie_sat/erniesat_aishell3_vctk_ckpt_1.2.0.zip +unzip erniesat_aishell3_vctk_ckpt_1.2.0.zip + +# 下载 finetune 相关模型 +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_ckpt_1.1.0.zip +unzip fastspeech2_aishell3_ckpt_1.1.0.zip + +# 下载声码器 +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_aishell3_ckpt_0.2.0.zip +unzip hifigan_aishell3_ckpt_0.2.0.zip +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_vctk_ckpt_0.2.0.zip +unzip hifigan_vctk_ckpt_0.2.0.zip + ``` +### 配置 `vc.py` 相关环境 + +如果不需要启动 vc 相关功能，可以跳过下面这些步骤 + +#### ERNIE-SAT 环境配置 + +ERNIE-SAT 体验依赖于 PaddleSpeech 中和 ERNIE-SAT相关的三个 `examples` 环境的配置，先确保按照在对应路径下，测试脚本可以运行（主要是 `tools`, `download`, `source`），部分可通用，在对用的环境下生成软链接就可以 + +在`PaddleSpeech/demos/speech_web/speech_server` 路径下，生成 tools 和 download ，可以参考 `examples/aishell3/ernie_sat`中的 `README.md` , 如果你之前已经下载过了，可以使用软链接 + +准备 `tools`文件夹: + +```shell +mkdir -p tools/aligner +cd tools +# download MFA +wget https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner/releases/download/v1.0.1/montreal-forced-aligner_linux.tar.gz +# extract MFA +tar xvf montreal-forced-aligner_linux.tar.gz +# fix .so of MFA +cd montreal-forced-aligner/lib +ln -snf libpython3.6m.so.1.0 libpython3.6m.so +cd - +# download align models and dicts +cd aligner +wget https://paddlespeech.bj.bcebos.com/MFA/ernie_sat/aishell3_model.zip +wget https://paddlespeech.bj.bcebos.com/MFA/AISHELL-3/with_tone/simple.lexicon +wget https://paddlespeech.bj.bcebos.com/MFA/ernie_sat/vctk_model.zip +wget https://paddlespeech.bj.bcebos.com/MFA/LJSpeech-1.1/cmudict-0.7b +cd ../../ +``` + +准备 `download` 文件夹 + +```bash +mkdir download +cd download +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_conformer_baker_ckpt_0.5.zip +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_ljspeech_ckpt_0.5.zip +unzip fastspeech2_conformer_baker_ckpt_0.5.zip +unzip fastspeech2_nosil_ljspeech_ckpt_0.5.zip +cd ../ +``` + +1. 中文 SAT 配置，参考 `examples/aishell3/ernie_sat`， 按照 `README.md` 要求配置环境，确保在路径下执行 `run.sh` 相关示例代码有效 + +2. 英文 SAT 配置，参考 `examples/vctk/ernie_sat`，按照 `README.md` 要求配置环境,确保在路径下执行 `run.sh` 相关示例代码有效 + +3. 中英文 SAT 配置，参考 `examples/aishell3_vctk/ernie_sat`，按照 `README.md` 要求配置环境,确保在路径下执行 `run.sh` 相关示例代码有效 + +#### finetune 环境配置 + +`finetune` 环境配置请参考 `examples/other/tts_finetune/tts3`，按照 `README.md` 要求配置环境,确保在路径下执行 `run.sh` 相关示例代码有效 + +`finetune` 需要在 `tools/aligner` 中解压 `aishell3_model.zip`，包含`tools/aligner/aishell3_model/meta.yaml` 文件，finetune中需要使用 + +```bash +cd tools/aligner +unzip aishell3.zip +cd ../.. +``` + + ### 前端环境安装 前端依赖 `node.js` ，需要提前安装，确保 `npm` 可用，`npm` 测试版本 `8.3.1`，建议下载[官网](https://nodejs.org/en/)稳定版的 `node.js` @@ -51,12 +174,26 @@ yarn install ### 开启后端服务 +#### `main.py` +【语音聊天】【声纹识别】【语音识别】【语音合成】【语音指令】功能体验，可直接使用下面的代码 ``` cd speech_server # 默认8010端口 python main.py --port 8010 ``` +#### `vc.py` + +【一句话合成】【小数据微调】【ENIRE-SAT】体验都依赖于MFA，体验前先确保 MFA 可用，项目tools中使用的 mfa v1 linux 版本，先确保在当前环境下 mfa 可用 + +``` +cd speech_server +# 默认8010端口 +python vc.py --port 8010 +``` + +> 如果你是其它的系统，可以使用 conda 安装 mfa v2 进行体验，安装请参考 [Montreal Forced Aligner](https://montreal-forced-aligner.readthedocs.io/en/latest/getting_started.html)，使用 MFA v2 需要自行配置环境，并修改调用 MFA 相关的代码, mfa v1 与 mfa v2 使用上有差异 + ### 开启前端服务 ``` diff --git a/demos/speech_web/docs/效果展示.png b/demos/speech_web/docs/效果展示.png index 5f7997c173a685ff546664925a839527bd639d49..d166f0dee498834e4d9e96b67886c36e46ef75d7 100644 GIT binary patch literal 108750 zcmeEuXE0o0+^-fTY6v1aK@vgq-l8SC5G7g=MD%XeNOWO?h)xhC(R=S@wYAavvdZcf 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z|BUS?2|eQ5$9(@~%D+tcudVd&N%`+1^zTXeSA6}q!2f@LQh*(a=X<1zScXLJqvC9a z7fUbYcyIQ_(A>OV_t$@GtX%!kpGB?B13k1yXcHql-?fo_75kDcS{nKzHgPNd{kqmi zBuD6*+$x}{doE%|UO?Ys9IT%Fmkhxt;3WdL4nl7qp>{rF zfTBXr^q%_Lzxk6GR+MD4*4G^VeE7F=_Ce9c z<10szQXAYdiDICMN)$^LZWg=D(-^*%VO9 z^ybMU>ydN?3GnYkC2VDgf!JaxdqZwgzYP8hY<1X0fl@ zuu^!ZHMO{HDVCE{kYw)b0`S$XEaoukYv@#D5JrQGL^IFU@}$!KF=eSdz`0lESXkQqnN z6D+@e9ly^_!0Kj7a=d)Ri2q}+Ie>Y5rnj;pW)W3j1k86QHRg6;G0_TG43$2+_HQ25B4v=d#Wzp$P!cj max_ckpt: + max_ckpt = int(it) + return max_ckpt + + +class FineTune: + def __init__(self): + self.now_file_path = os.path.dirname(__file__) + self.PYTHONPATH = os.path.realpath( + os.path.join(self.now_file_path, + "../../../../examples/other/tts_finetune/tts3")) + self.BIN_DIR = os.path.realpath( + os.path.join(self.now_file_path, + "../../../../paddlespeech/t2s/exps/fastspeech2")) + self.pretrained_model_dir = os.path.realpath( + "source/model/fastspeech2_aishell3_ckpt_1.1.0") + self.voc_model_dir = os.path.realpath( + "source/model/hifigan_aishell3_ckpt_0.2.0") + self.finetune_config = os.path.join("conf/tts3_finetune.yaml") + + def finetune(self, input_dir, exp_dir='temp', epoch=100): + mfa_dir = os.path.join(exp_dir, 'mfa_result') + dump_dir = os.path.join(exp_dir, 'dump') + output_dir = os.path.join(exp_dir, 'exp') + lang = "zh" + ngpu = 1 + + cmd = f""" + python3 {self.PYTHONPATH}/finetune.py \ + --input_dir={input_dir} \ + --pretrained_model_dir={self.pretrained_model_dir} \ + --mfa_dir={mfa_dir} \ + --dump_dir={dump_dir} \ + --output_dir={output_dir} \ + --lang={lang} \ + --ngpu={ngpu} \ + --epoch={epoch} \ + --finetune_config={self.finetune_config} + """ + + print(cmd) + + return run_cmd(cmd, exp_dir) + + def synthesize(self, text, wav_name, out_wav_dir, exp_dir='temp'): + + voc = "hifigan_aishell3" + dump_dir = os.path.join(exp_dir, 'dump') + output_dir = os.path.join(exp_dir, 'exp') + text_path = os.path.join(exp_dir, 'sentences.txt') + lang = "zh" + ngpu = 1 + + model_path = f"{output_dir}/checkpoints" + ckpt = find_max_ckpt(model_path) + + # 生成对应的语句 + with open(text_path, "w", encoding='utf8') as f: + f.write(wav_name + " " + text) + + cmd = f""" + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 {self.BIN_DIR}/../synthesize_e2e.py \ + --am=fastspeech2_aishell3 \ + --am_config={self.pretrained_model_dir}/default.yaml \ + --am_ckpt={output_dir}/checkpoints/snapshot_iter_{ckpt}.pdz \ + --am_stat={self.pretrained_model_dir}/speech_stats.npy \ + --voc={voc} \ + --voc_config={self.voc_model_dir}/default.yaml \ + --voc_ckpt={self.voc_model_dir}/snapshot_iter_2500000.pdz \ + --voc_stat={self.voc_model_dir}/feats_stats.npy \ + --lang={lang} \ + --text={text_path} \ + --output_dir={out_wav_dir} \ + --phones_dict={dump_dir}/phone_id_map.txt \ + --speaker_dict={dump_dir}/speaker_id_map.txt \ + --spk_id=0 + """ + + out_path = os.path.join(out_wav_dir, f"{wav_name}.wav") + + return run_cmd(cmd, out_path) diff --git a/demos/speech_web/speech_server/src/ge2e_clone.py b/demos/speech_web/speech_server/src/ge2e_clone.py new file mode 100644 index 00000000..18173bd3 --- /dev/null +++ b/demos/speech_web/speech_server/src/ge2e_clone.py @@ -0,0 +1,59 @@ +import os +import shutil + +from .util import run_cmd + + +class VoiceCloneGE2E(): + def __init__(self): + # Path 到指定路径上 + self.now_file_path = os.path.dirname(__file__) + self.BIN_DIR = os.path.realpath( + os.path.join(self.now_file_path, + "../../../../paddlespeech/t2s/exps")) + # am + self.am = "fastspeech2_aishell3" + self.am_config = "source/model/fastspeech2_nosil_aishell3_vc1_ckpt_0.5/default.yaml" + self.am_ckpt = "source/model/fastspeech2_nosil_aishell3_vc1_ckpt_0.5/snapshot_iter_96400.pdz" + self.am_stat = "source/model/fastspeech2_nosil_aishell3_vc1_ckpt_0.5/speech_stats.npy" + self.phones_dict = "source/model/fastspeech2_nosil_aishell3_vc1_ckpt_0.5/phone_id_map.txt" + # voc + self.voc = "pwgan_aishell3" + self.voc_config = "source/model/pwg_aishell3_ckpt_0.5/default.yaml" + self.voc_ckpt = "source/model/pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz" + self.voc_stat = "source/model/pwg_aishell3_ckpt_0.5/feats_stats.npy" + # ge2e + self.ge2e_params_path = "source/model/ge2e_ckpt_0.3/step-3000000.pdparams" + + def vc(self, text, input_wav, out_wav): + + # input wav 需要形成临时单独文件夹 + _, full_file_name = os.path.split(input_wav) + ref_audio_dir = os.path.realpath("tmp_dir/ge2e") + if os.path.exists(ref_audio_dir): + shutil.rmtree(ref_audio_dir) + else: + os.makedirs(ref_audio_dir, exist_ok=True) + shutil.copy(input_wav, ref_audio_dir) + + output_dir = os.path.dirname(out_wav) + + cmd = f""" + python3 {self.BIN_DIR}/voice_cloning.py \ + --am={self.am} \ + --am_config={self.am_config} \ + --am_ckpt={self.am_ckpt} \ + --am_stat={self.am_stat} \ + --voc={self.voc} \ + --voc_config={self.voc_config} \ + --voc_ckpt={self.voc_ckpt} \ + --voc_stat={self.voc_stat} \ + --ge2e_params_path={self.ge2e_params_path} \ + --text="{text}" \ + --input-dir={ref_audio_dir} \ + --output-dir={output_dir} \ + --phones-dict={self.phones_dict} + """ + + output_name = os.path.join(output_dir, full_file_name) + return run_cmd(cmd, output_name=output_name) diff --git a/demos/speech_web/speech_server/src/tdnn_clone.py b/demos/speech_web/speech_server/src/tdnn_clone.py new file mode 100644 index 00000000..4c3b3e8b --- /dev/null +++ b/demos/speech_web/speech_server/src/tdnn_clone.py @@ -0,0 +1,56 @@ +import os +import shutil + +from .util import run_cmd + + +class VoiceCloneTDNN(): + def __init__(self): + # Path 到指定路径上 + self.now_file_path = os.path.dirname(__file__) + self.BIN_DIR = os.path.realpath( + os.path.join(self.now_file_path, + "../../../../paddlespeech/t2s/exps")) + + self.am = "fastspeech2_aishell3" + self.am_config = "source/model/fastspeech2_aishell3_ckpt_vc2_1.2.0/default.yaml" + self.am_ckpt = "source/model/fastspeech2_aishell3_ckpt_vc2_1.2.0/snapshot_iter_96400.pdz" + self.am_stat = "source/model/fastspeech2_aishell3_ckpt_vc2_1.2.0/speech_stats.npy" + self.phones_dict = "source/model/fastspeech2_aishell3_ckpt_vc2_1.2.0/phone_id_map.txt" + # voc + self.voc = "pwgan_aishell3" + self.voc_config = "source/model/pwg_aishell3_ckpt_0.5/default.yaml" + self.voc_ckpt = "source/model/pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz" + self.voc_stat = "source/model/pwg_aishell3_ckpt_0.5/feats_stats.npy" + + def vc(self, text, input_wav, out_wav): + # input wav 需要形成临时单独文件夹 + _, full_file_name = os.path.split(input_wav) + ref_audio_dir = os.path.realpath("tmp_dir/tdnn") + if os.path.exists(ref_audio_dir): + shutil.rmtree(ref_audio_dir) + else: + os.makedirs(ref_audio_dir, exist_ok=True) + shutil.copy(input_wav, ref_audio_dir) + + output_dir = os.path.dirname(out_wav) + + cmd = f""" + python3 {self.BIN_DIR}/voice_cloning.py \ + --am={self.am} \ + --am_config={self.am_config} \ + --am_ckpt={self.am_ckpt} \ + --am_stat={self.am_stat} \ + --voc={self.voc} \ + --voc_config={self.voc_config} \ + --voc_ckpt={self.voc_ckpt} \ + --voc_stat={self.voc_stat} \ + --text="{text}" \ + --input-dir={ref_audio_dir} \ + --output-dir={output_dir} \ + --phones-dict={self.phones_dict} \ + --use_ecapa=True + """ + + output_name = os.path.join(output_dir, full_file_name) + return run_cmd(cmd, output_name=output_name) diff --git a/demos/speech_web/speech_server/src/util.py b/demos/speech_web/speech_server/src/util.py index 4a566b6e..773d6ec9 100644 --- a/demos/speech_web/speech_server/src/util.py +++ b/demos/speech_web/speech_server/src/util.py @@ -1,4 +1,6 @@ +import os import random +import subprocess def randName(n=5): @@ -11,3 +13,20 @@ def SuccessRequest(result=None, message="ok"): def ErrorRequest(result=None, message="error"): return {"code": -1, "result": result, "message": message} + + +def run_cmd(cmd, output_name): + p = subprocess.Popen(cmd, shell=True) + res = p.wait() + print(cmd) + print("运行结果：", res) + if res == 0: + # 运行成功 + if os.path.exists(output_name): + return output_name + else: + # 合成的文件不存在 + return None + else: + # 运行失败 + return None diff --git a/demos/speech_web/speech_server/vc.py b/demos/speech_web/speech_server/vc.py new file mode 100644 index 00000000..99e56b40 --- /dev/null +++ b/demos/speech_web/speech_server/vc.py @@ -0,0 +1,547 @@ +import argparse +import base64 +import datetime +import json +import os +from typing import List + +import aiofiles +import librosa +import soundfile as sf +import uvicorn +from fastapi import FastAPI +from fastapi import UploadFile +from pydantic import BaseModel +from src.ernie_sat import SAT +from src.finetune import FineTune +from src.ge2e_clone import VoiceCloneGE2E +from src.tdnn_clone import VoiceCloneTDNN +from src.util import * +from starlette.responses import FileResponse + +from paddlespeech.server.utils.audio_process import float2pcm + +# 解析配置 +parser = argparse.ArgumentParser(prog='PaddleSpeechDemo', add_help=True) + +parser.add_argument( + "--port", + action="store", + type=int, + help="port of the app", + default=8010, + required=False) + +args = parser.parse_args() +port = args.port + +# 这里会对finetune产生影响，所以finetune使用了cmd +vc_model = VoiceCloneGE2E() +vc_model_tdnn = VoiceCloneTDNN() + +sat_model = SAT() +ft_model = FineTune() + +# 配置文件 +tts_config = "conf/tts_online_application.yaml" +asr_config = "conf/ws_conformer_wenetspeech_application_faster.yaml" +asr_init_path = "source/demo/demo.wav" +db_path = "source/db/vc.sqlite" +ie_model_path = "source/model" + +# 路径配置 +VC_UPLOAD_PATH = "source/wav/vc/upload" +VC_OUT_PATH = "source/wav/vc/out" + +FT_UPLOAD_PATH = "source/wav/finetune/upload" +FT_OUT_PATH = "source/wav/finetune/out" +FT_LABEL_PATH = "source/wav/finetune/label.json" +FT_LABEL_TXT_PATH = "source/wav/finetune/labels.txt" +FT_DEFAULT_PATH = "source/wav/finetune/default" +FT_EXP_BASE_PATH = "tmp_dir/finetune" + +SAT_UPLOAD_PATH = "source/wav/SAT/upload" +SAT_OUT_PATH = "source/wav/SAT/out" +SAT_LABEL_PATH = "source/wav/SAT/label.json" + +# SAT 标注结果初始化 +if os.path.exists(SAT_LABEL_PATH): + with open(SAT_LABEL_PATH, "r", encoding='utf8') as f: + sat_label_dic = json.load(f) +else: + sat_label_dic = {} + +# ft 标注结果初始化 +if os.path.exists(FT_LABEL_PATH): + with open(FT_LABEL_PATH, "r", encoding='utf8') as f: + ft_label_dic = json.load(f) +else: + ft_label_dic = {} + +# 新建文件夹 +base_sources = [ + VC_UPLOAD_PATH, + VC_OUT_PATH, + FT_UPLOAD_PATH, + FT_OUT_PATH, + FT_DEFAULT_PATH, + SAT_UPLOAD_PATH, + SAT_OUT_PATH, +] +for path in base_sources: + os.makedirs(path, exist_ok=True) +##################################################################### +########################### APP初始化 ############################### +##################################################################### +app = FastAPI() + +###################################################################### +########################### 接口类型 ################################# +##################################################################### + + +# 接口结构 +class VcBase(BaseModel): + wavName: str + wavPath: str + + +class VcBaseText(BaseModel): + wavName: str + wavPath: str + text: str + func: str + + +class VcBaseSAT(BaseModel): + old_str: str + new_str: str + language: str + function: str + wav: str # base64编码 + filename: str + + +class FTPath(BaseModel): + dataPath: str + + +class VcBaseFT(BaseModel): + wav: str # base64编码 + filename: str + wav_path: str + + +class VcBaseFTModel(BaseModel): + wav_path: str + + +class VcBaseFTSyn(BaseModel): + exp_path: str + text: str + + +###################################################################### +########################### 文件列表查询与保存服务 ################################# +##################################################################### + + +def getVCList(path): + VC_FileDict = [] + # 查询upload路径下的wav文件名 + for root, dirs, files in os.walk(path, topdown=False): + for name in files: + # print(os.path.join(root, name)) + VC_FileDict.append({'name': name, 'path': os.path.join(root, name)}) + VC_FileDict = sorted(VC_FileDict, key=lambda x: x['name'], reverse=True) + return VC_FileDict + + +async def saveFiles(files, SavePath): + right = 0 + error = 0 + error_info = "错误文件：" + for file in files: + try: + if 'blob' in file.filename: + out_file_path = os.path.join( + SavePath, + datetime.datetime.strftime(datetime.datetime.now(), + '%H%M') + randName(3) + ".wav") + else: + out_file_path = os.path.join(SavePath, file.filename) + + print("上传文件名:", out_file_path) + async with aiofiles.open(out_file_path, 'wb') as out_file: + content = await file.read() # async read + await out_file.write(content) # async write + # 将文件转成24k, 16bit类型的wav文件 + wav, sr = librosa.load(out_file_path, sr=16000) + sf.write(out_file_path, data=wav, samplerate=sr) + right += 1 + except Exception as e: + error += 1 + error_info = error_info + file.filename + " " + str(e) + "\n" + continue + return f"上传成功：{right}, 上传失败：{error}, 失败原因： {error_info}" + + +# 音频下载 +@app.post("/vc/download") +async def VcDownload(base: VcBase): + if os.path.exists(base.wavPath): + return FileResponse(base.wavPath) + else: + return ErrorRequest(message="下载请求失败，文件不存在") + + +# 音频下载base64 +@app.post("/vc/download_base64") +async def VcDownloadBase64(base: VcBase): + if os.path.exists(base.wavPath): + # 将文件转成16k, 16bit类型的wav文件 + wav, sr = librosa.load(base.wavPath, sr=16000) + wav = float2pcm(wav) # float32 to int16 + wav_bytes = wav.tobytes() # to bytes + wav_base64 = base64.b64encode(wav_bytes).decode('utf8') + return SuccessRequest(result=wav_base64) + else: + return ErrorRequest(message="播放请求失败，文件不存在") + + +###################################################################### +########################### VC 服务 ################################# +##################################################################### + + +# 上传文件 +@app.post("/vc/upload") +async def VcUpload(files: List[UploadFile]): + # res = saveFiles(files, VC_UPLOAD_PATH) + right = 0 + error = 0 + error_info = "错误文件：" + for file in files: + try: + if 'blob' in file.filename: + out_file_path = os.path.join( + VC_UPLOAD_PATH, + datetime.datetime.strftime(datetime.datetime.now(), + '%H%M') + randName(3) + ".wav") + else: + out_file_path = os.path.join(VC_UPLOAD_PATH, file.filename) + + print("上传文件名:", out_file_path) + async with aiofiles.open(out_file_path, 'wb') as out_file: + content = await file.read() # async read + await out_file.write(content) # async write + # 将文件转成24k, 16bit类型的wav文件 + wav, sr = librosa.load(out_file_path, sr=16000) + sf.write(out_file_path, data=wav, samplerate=sr) + right += 1 + except Exception as e: + error += 1 + error_info = error_info + file.filename + " " + str(e) + "\n" + continue + return SuccessRequest( + result=f"上传成功：{right}, 上传失败：{error}, 失败原因： {error_info}") + + +# 获取文件列表 +@app.get("/vc/list") +async def VcList(): + res = getVCList(VC_UPLOAD_PATH) + return SuccessRequest(result=res) + + +# 获取音频文件 +@app.post("/vc/file") +async def VcFileGet(base: VcBase): + if os.path.exists(base.wavPath): + return FileResponse(base.wavPath) + else: + return ErrorRequest(result="获取文件失败") + + +# 删除音频文件 +@app.post("/vc/del") +async def VcFileDel(base: VcBase): + if os.path.exists(base.wavPath): + os.remove(base.wavPath) + return SuccessRequest(result="删除成功") + else: + return ErrorRequest(result="删除失败") + + +# 声音克隆G2P +@app.post("/vc/clone_g2p") +async def VcCloneG2P(base: VcBaseText): + if os.path.exists(base.wavPath): + try: + if base.func == 'ge2e': + wavName = base.wavName + wavPath = os.path.join(VC_OUT_PATH, wavName) + vc_model.vc( + text=base.text, input_wav=base.wavPath, out_wav=wavPath) + else: + wavName = base.wavName + wavPath = os.path.join(VC_OUT_PATH, wavName) + vc_model_tdnn.vc( + text=base.text, input_wav=base.wavPath, out_wav=wavPath) + res = {"wavName": wavName, "wavPath": wavPath} + return SuccessRequest(result=res) + except Exception as e: + print(e) + return ErrorRequest(message="克隆失败，合成过程报错") + else: + return ErrorRequest(message="克隆失败，音频不存在") + + +###################################################################### +########################### SAT 服务 ################################# +##################################################################### +# 声音克隆SAT +@app.post("/vc/clone_sat") +async def VcCloneSAT(base: VcBaseSAT): + # 重新整理 sat_label_dict + if base.filename not in sat_label_dic or sat_label_dic[ + base.filename] != base.old_str: + sat_label_dic[base.filename] = base.old_str + with open(SAT_LABEL_PATH, "w", encoding='utf8') as f: + json.dump(sat_label_dic, f, ensure_ascii=False, indent=4) + + input_file_path = base.wav + + # 选择任务 + if base.language == "zh": + # 中文 + if base.function == "synthesize": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_syn_zh_" + base.filename) + # 中文克隆 + sat_result = sat_model.zh_synthesize_edit( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + task_name="synthesize") + elif base.function == "edit": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_edit_zh_" + base.filename) + # 中文语音编辑 + sat_result = sat_model.zh_synthesize_edit( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + task_name="edit") + elif base.function == "crossclone": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_cross_zh_" + base.filename) + # 中文跨语言 + sat_result = sat_model.crossclone( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + source_lang="zh", + target_lang="en") + else: + return ErrorRequest( + message="请检查功能选项是否正确，仅支持:synthesize, edit, crossclone") + elif base.language == "en": + if base.function == "synthesize": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_syn_zh_" + base.filename) + # 英文语音克隆 + sat_result = sat_model.en_synthesize_edit( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + task_name="synthesize") + elif base.function == "edit": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_edit_zh_" + base.filename) + # 英文语音编辑 + sat_result = sat_model.en_synthesize_edit( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + task_name="edit") + elif base.function == "crossclone": + output_file_path = os.path.join(SAT_OUT_PATH, + "sat_cross_zh_" + base.filename) + # 英文跨语言 + sat_result = sat_model.crossclone( + old_str=base.old_str, + new_str=base.new_str, + input_name=os.path.realpath(input_file_path), + output_name=os.path.realpath(output_file_path), + source_lang="en", + target_lang="zh") + else: + return ErrorRequest( + message="请检查功能选项是否正确，仅支持:synthesize, edit, crossclone") + else: + return ErrorRequest(message="请检查功能选项是否正确，仅支持中文和英文") + + if sat_result: + return SuccessRequest(result=sat_result, message="SAT合成成功") + else: + return ErrorRequest(message="SAT 合成失败，请从后台检查错误信息！") + + +# SAT 文件列表 +@app.get("/sat/list") +async def SatList(): + res = [] + filelist = getVCList(SAT_UPLOAD_PATH) + for fileitem in filelist: + if fileitem['name'] in sat_label_dic: + fileitem['label'] = sat_label_dic[fileitem['name']] + else: + fileitem['label'] = "" + res.append(fileitem) + return SuccessRequest(result=res) + + +# 上传 SAT 音频 +# 上传文件 +@app.post("/sat/upload") +async def SATUpload(files: List[UploadFile]): + right = 0 + error = 0 + error_info = "错误文件：" + for file in files: + try: + if 'blob' in file.filename: + out_file_path = os.path.join( + SAT_UPLOAD_PATH, + datetime.datetime.strftime(datetime.datetime.now(), + '%H%M') + randName(3) + ".wav") + else: + out_file_path = os.path.join(SAT_UPLOAD_PATH, file.filename) + + print("上传文件名:", out_file_path) + async with aiofiles.open(out_file_path, 'wb') as out_file: + content = await file.read() # async read + await out_file.write(content) # async write + # 将文件转成24k, 16bit类型的wav文件 + wav, sr = librosa.load(out_file_path, sr=16000) + sf.write(out_file_path, data=wav, samplerate=sr) + right += 1 + except Exception as e: + error += 1 + error_info = error_info + file.filename + " " + str(e) + "\n" + continue + return SuccessRequest( + result=f"上传成功：{right}, 上传失败：{error}, 失败原因： {error_info}") + + +###################################################################### +########################### FinueTune 服务 ################################# +##################################################################### + + +# finetune 文件列表 +@app.post("/finetune/list") +async def FineTuneList(Path: FTPath): + dataPath = Path.dataPath + if dataPath == "default": + # 默认路径 + FT_PATH = FT_DEFAULT_PATH + else: + FT_PATH = dataPath + + res = [] + filelist = getVCList(FT_PATH) + for name, value in ft_label_dic.items(): + wav_path = os.path.join(FT_PATH, name) + if not os.path.exists(wav_path): + wav_path = "" + d = {'text': value['text'], 'name': name, 'path': wav_path} + res.append(d) + return SuccessRequest(result=res) + + +# 一键重置，获取新的文件地址 +@app.get('/finetune/newdir') +async def FTGetNewDir(): + new_path = os.path.join(FT_UPLOAD_PATH, randName(3)) + if not os.path.exists(new_path): + os.makedirs(new_path, exist_ok=True) + # 把 labels.txt 复制进去 + cmd = f"cp {FT_LABEL_TXT_PATH} {new_path}" + os.system(cmd) + return SuccessRequest(result=new_path) + + +# finetune 上传文件 +@app.post("/finetune/upload") +async def FTUpload(base: VcBaseFT): + try: + # 文件夹是否存在 + if not os.path.exists(base.wav_path): + os.makedirs(base.wav_path) + # 保存音频文件 + out_file_path = os.path.join(base.wav_path, base.filename) + wav_b = base64.b64decode(base.wav) + async with aiofiles.open(out_file_path, 'wb') as out_file: + await out_file.write(wav_b) # async write + + return SuccessRequest(result="上传成功") + except Exception as e: + return ErrorRequest(result="上传失败") + + +# finetune 微调 +@app.post("/finetune/clone_finetune") +async def FTModel(base: VcBaseFTModel): + # 先检查 wav_path 是否有效 + if base.wav_path == 'default': + data_path = FT_DEFAULT_PATH + else: + data_path = base.wav_path + if not os.path.exists(data_path): + return ErrorRequest(message="数据文件夹不存在") + + data_base = data_path.split(os.sep)[-1] + exp_dir = os.path.join(FT_EXP_BASE_PATH, data_base) + try: + exp_dir = ft_model.finetune( + input_dir=os.path.realpath(data_path), + exp_dir=os.path.realpath(exp_dir)) + if exp_dir: + return SuccessRequest(result=exp_dir) + else: + return ErrorRequest(message="微调失败") + except Exception as e: + print(e) + return ErrorRequest(message="微调失败") + + +# finetune 合成 +@app.post("/finetune/clone_finetune_syn") +async def FTSyn(base: VcBaseFTSyn): + try: + if not os.path.exists(base.exp_path): + return ErrorRequest(result="模型路径不存在") + wav_name = randName(5) + wav_path = ft_model.synthesize( + text=base.text, + wav_name=wav_name, + out_wav_dir=os.path.realpath(FT_OUT_PATH), + exp_dir=os.path.realpath(base.exp_path)) + if wav_path: + res = {"wavName": wav_name + ".wav", "wavPath": wav_path} + return SuccessRequest(result=res) + else: + return ErrorRequest(message="音频合成失败") + except Exception as e: + return ErrorRequest(message="音频合成失败") + + +if __name__ == '__main__': + uvicorn.run(app=app, host='0.0.0.0', port=port) diff --git a/demos/speech_web/web_client/package.json b/demos/speech_web/web_client/package.json index 7f28d4c9..d8c213e4 100644 --- a/demos/speech_web/web_client/package.json +++ b/demos/speech_web/web_client/package.json @@ -8,6 +8,7 @@ "preview": "vite preview" }, "dependencies": { + "@element-plus/icons-vue": "^2.0.9", "ant-design-vue": "^2.2.8", "axios": "^0.26.1", "element-plus": "^2.1.9", @@ -18,6 +19,7 @@ }, "devDependencies": { "@vitejs/plugin-vue": "^2.3.0", - "vite": "^2.9.0" + "vite": "^2.9.13", + "@vue/compiler-sfc": "^3.1.0" } } diff --git a/demos/speech_web/web_client/src/api/API.js b/demos/speech_web/web_client/src/api/API.js index 0feaa63f..5adca362 100644 --- a/demos/speech_web/web_client/src/api/API.js +++ b/demos/speech_web/web_client/src/api/API.js @@ -19,6 +19,26 @@ export const apiURL = { CHAT_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/offlineStream', // ChatBot websocket 接口 ASR_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/onlineStream', // Stream ASR 接口 TTS_SOCKET_RECORD: 'ws://localhost:8010/ws/tts/online', // Stream TTS 接口 + + // voice clone + // Voice Clone + VC_List: '/api/vc/list', + SAT_List: '/api/sat/list', + FineTune_List: '/api/finetune/list', + + VC_Upload: '/api/vc/upload', + SAT_Upload: '/api/sat/upload', + FineTune_Upload: '/api/finetune/upload', + FineTune_NewDir: '/api/finetune/newdir', + + VC_Download: '/api/vc/download', + VC_Download_Base64: '/api/vc/download_base64', + VC_Del: '/api/vc/del', + + VC_CloneG2p: '/api/vc/clone_g2p', + VC_CloneSAT: '/api/vc/clone_sat', + VC_CloneFineTune: '/api/finetune/clone_finetune', + VC_CloneFineTuneSyn: '/api/finetune/clone_finetune_syn', } diff --git a/demos/speech_web/web_client/src/api/ApiVC.js b/demos/speech_web/web_client/src/api/ApiVC.js new file mode 100644 index 00000000..0dc0f683 --- /dev/null +++ b/demos/speech_web/web_client/src/api/ApiVC.js @@ -0,0 +1,88 @@ +import axios from 'axios' +import {apiURL} from "./API.js" + +// 上传音频-vc +export async function vcUpload(params){ + const result = await axios.post(apiURL.VC_Upload, params); + return result +} + +// 上传音频-sat +export async function satUpload(params){ + const result = await axios.post(apiURL.SAT_Upload, params); + return result +} + +// 上传音频-finetune +export async function fineTuneUpload(params){ + const result = await axios.post(apiURL.FineTune_Upload, params); + return result +} + +// 删除音频 +export async function vcDel(params){ + const result = await axios.post(apiURL.VC_Del, params); + return result +} + +// 获取音频列表vc +export async function vcList(){ + const result = await axios.get(apiURL.VC_List); + return result +} +// 获取音频列表Sat +export async function satList(){ + const result = await axios.get(apiURL.SAT_List); + return result +} + +// 获取音频列表fineTune +export async function fineTuneList(params){ + const result = await axios.post(apiURL.FineTune_List, params); + return result +} + +// fineTune 一键重置 获取新的文件夹 +export async function fineTuneNewDir(){ + const result = await axios.get(apiURL.FineTune_NewDir); + return result +} + +// 获取音频数据 +export async function vcDownload(params){ + const result = await axios.post(apiURL.VC_Download, params); + return result +} + +// 获取音频数据Base64 +export async function vcDownloadBase64(params){ + const result = await axios.post(apiURL.VC_Download_Base64, params); + return result +} + + +// 克隆合成G2P +export async function vcCloneG2P(params){ + const result = await axios.post(apiURL.VC_CloneG2p, params); + return result +} + +// 克隆合成SAT +export async function vcCloneSAT(params){ + const result = await axios.post(apiURL.VC_CloneSAT, params); + return result +} + +// 克隆合成 - finetune 微调 +export async function vcCloneFineTune(params){ + const result = await axios.post(apiURL.VC_CloneFineTune, params); + return result +} + +// 克隆合成 - finetune 合成 +export async function vcCloneFineTuneSyn(params){ + const result = await axios.post(apiURL.VC_CloneFineTuneSyn, params); + return result +} + + diff --git a/demos/speech_web/web_client/src/components/Content/Header/Header.vue b/demos/speech_web/web_client/src/components/Content/Header/Header.vue index 8135a2bf..c20f3366 100644 --- a/demos/speech_web/web_client/src/components/Content/Header/Header.vue +++ b/demos/speech_web/web_client/src/components/Content/Header/Header.vue @@ -4,7 +4,7 @@ 飞桨-PaddleSpeech

- PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发，欢迎大家Star收藏鼓励 + PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发。支持语音识别，语音合成，声纹识别，声音分类，语音唤醒，语音翻译等多种语音任务，荣获 NAACL2022 Best Demo Award 。如果你喜欢这个示例，欢迎在 github 中 star 收藏鼓励。
diff --git a/demos/speech_web/web_client/src/components/Content/Header/style.less b/demos/speech_web/web_client/src/components/Content/Header/style.less index 9d026137..cc97c741 100644 --- a/demos/speech_web/web_client/src/components/Content/Header/style.less +++ b/demos/speech_web/web_client/src/components/Content/Header/style.less @@ -43,6 +43,7 @@ margin-bottom: 40px; display: flex; align-items: center; + margin-top: 40px; }; .speech_header_link { display: block; diff --git a/demos/speech_web/web_client/src/components/Experience.vue b/demos/speech_web/web_client/src/components/Experience.vue index 5620d6af..4f32faf9 100644 --- a/demos/speech_web/web_client/src/components/Experience.vue +++ b/demos/speech_web/web_client/src/components/Experience.vue @@ -6,6 +6,10 @@ import TTST from './SubMenu/TTS/TTST.vue' import VPRT from './SubMenu/VPR/VPRT.vue' import IET from './SubMenu/IE/IET.vue' +import VoiceCloneT from './SubMenu/VoiceClone/VoiceClone.vue' +import ENIRE_SATT from './SubMenu/ENIRE_SAT/ENIRE_SAT.vue' +import FineTuneT from './SubMenu/FineTune/FineTune.vue' +