From f2b4b947a7288ec920d4d61e0be963f2595f8702 Mon Sep 17 00:00:00 2001 From: co63oc Date: Tue, 25 Mar 2025 10:41:03 +0800 Subject: [PATCH] Fix typos in multiple files (#4032) --- README.md | 4 +- audio/paddleaudio/datasets/dataset.py | 2 +- audio/paddleaudio/datasets/esc50.py | 2 +- audio/paddleaudio/datasets/gtzan.py | 2 +- audio/paddleaudio/datasets/tess.py | 2 +- audio/paddleaudio/datasets/urban_sound.py | 2 +- audio/tests/backends/sox_io/save_test.py | 2 +- demos/TTSAndroid/README.md | 8 +- demos/audio_searching/README.md | 4 +- demos/speech_server/README.md | 2 +- demos/speech_web/web_client/yarn.lock | 305 ++++------------------ demos/streaming_asr_server/README.md | 8 +- demos/streaming_tts_server/README.md | 4 +- demos/text_to_speech/README.md | 4 +- demos/whisper/README.md | 2 +- docs/source/tts/advanced_usage.md | 2 +- examples/aishell/asr0/local/train.sh | 4 +- examples/aishell/asr1/local/train.sh | 4 +- examples/csmsc/voc3/conf/default.yaml | 2 +- examples/csmsc/voc3/conf/finetune.yaml | 2 +- examples/librispeech/asr0/local/train.sh | 4 +- examples/librispeech/asr1/local/train.sh | 4 +- examples/librispeech/asr2/local/train.sh | 4 +- examples/tal_cs/asr1/local/data.sh | 2 +- examples/tal_cs/asr1/local/train.sh | 4 +- examples/timit/asr1/local/train.sh | 4 +- examples/tiny/asr0/local/train.sh | 4 +- examples/tiny/asr1/local/train.sh | 4 +- examples/wenetspeech/asr1/local/train.sh | 4 +- paddlespeech/cli/asr/infer.py | 2 +- paddlespeech/cli/cls/infer.py | 2 +- paddlespeech/cli/kws/infer.py | 2 +- paddlespeech/cli/ssl/infer.py | 2 +- paddlespeech/cli/st/infer.py | 2 +- paddlespeech/cli/text/infer.py | 2 +- paddlespeech/cli/tts/infer.py | 4 +- paddlespeech/cli/vector/infer.py | 2 +- paddlespeech/cli/whisper/infer.py | 2 +- paddlespeech/s2t/modules/align.py | 2 +- paddlespeech/s2t/training/cli.py | 2 +- paddlespeech/t2s/modules/diffusion.py | 2 +- paddlespeech/t2s/training/cli.py | 2 +- paddlespeech/utils/initialize.py | 4 +- runtime/examples/custom_asr/README.md | 2 +- 44 files changed, 111 insertions(+), 324 deletions(-) diff --git a/README.md b/README.md index ace7f7c57..6ac520f98 100644 --- a/README.md +++ b/README.md @@ -173,7 +173,7 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision - 🏆 **Streaming ASR and TTS System**: we provide production ready streaming asr and streaming tts system. - 💯 **Rule-based Chinese frontend**: our frontend contains Text Normalization and Grapheme-to-Phoneme (G2P, including Polyphone and Tone Sandhi). Moreover, we use self-defined linguistic rules to adapt Chinese context. - 📦 **Varieties of Functions that Vitalize both Industrial and Academia**: - - 🛎️ *Implementation of critical audio tasks*: this toolkit contains audio functions like Automatic Speech Recognition, Text-to-Speech Synthesis, Speaker Verfication, KeyWord Spotting, Audio Classification, and Speech Translation, etc. + - 🛎️ *Implementation of critical audio tasks*: this toolkit contains audio functions like Automatic Speech Recognition, Text-to-Speech Synthesis, Speaker Verification, KeyWord Spotting, Audio Classification, and Speech Translation, etc. - 🔬 *Integration of mainstream models and datasets*: the toolkit implements modules that participate in the whole pipeline of the speech tasks, and uses mainstream datasets like LibriSpeech, LJSpeech, AIShell, CSMSC, etc. See also [model list](#model-list) for more details. - 🧩 *Cascaded models application*: as an extension of the typical traditional audio tasks, we combine the workflows of the aforementioned tasks with other fields like Natural language processing (NLP) and Computer Vision (CV). @@ -1025,7 +1025,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P - Many thanks to [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) for developing a rasa chatbot,which is able to speak and listen thanks to PaddleSpeech. - Many thanks to [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) for the C++ inference implementation of PaddleSpeech ASR. - Many thanks to [heyudage](https://github.com/heyudage)/[VoiceTyping](https://github.com/heyudage/VoiceTyping) for the real-time voice typing tool implementation of PaddleSpeech ASR streaming services. -- Many thanks to [EscaticZheng](https://github.com/EscaticZheng)/[ps3.9wheel-install](https://github.com/EscaticZheng/ps3.9wheel-install) for the python3.9 prebuilt wheel for PaddleSpeech installation in Windows without Viusal Studio. +- Many thanks to [EscaticZheng](https://github.com/EscaticZheng)/[ps3.9wheel-install](https://github.com/EscaticZheng/ps3.9wheel-install) for the python3.9 prebuilt wheel for PaddleSpeech installation in Windows without Visual Studio. Besides, PaddleSpeech depends on a lot of open source repositories. See [references](./docs/source/reference.md) for more information. - Many thanks to [chinobing](https://github.com/chinobing)/[FastAPI-PaddleSpeech-Audio-To-Text](https://github.com/chinobing/FastAPI-PaddleSpeech-Audio-To-Text) for converting audio to text based on FastAPI and PaddleSpeech. - Many thanks to [MistEO](https://github.com/MistEO)/[Pallas-Bot](https://github.com/MistEO/Pallas-Bot) for QQ bot based on PaddleSpeech TTS. diff --git a/audio/paddleaudio/datasets/dataset.py b/audio/paddleaudio/datasets/dataset.py index 170e91669..a8aaf35b4 100644 --- a/audio/paddleaudio/datasets/dataset.py +++ b/audio/paddleaudio/datasets/dataset.py @@ -43,7 +43,7 @@ class AudioClassificationDataset(paddle.io.Dataset): sample_rate: int=None, **kwargs): """ - Ags: + Args: files (:obj:`List[str]`): A list of absolute path of audio files. labels (:obj:`List[int]`): Labels of audio files. feat_type (:obj:`str`, `optional`, defaults to `raw`): diff --git a/audio/paddleaudio/datasets/esc50.py b/audio/paddleaudio/datasets/esc50.py index 555f84834..6f4675069 100644 --- a/audio/paddleaudio/datasets/esc50.py +++ b/audio/paddleaudio/datasets/esc50.py @@ -111,7 +111,7 @@ class ESC50(AudioClassificationDataset): feat_type: str='raw', **kwargs): """ - Ags: + Args: mode (:obj:`str`, `optional`, defaults to `train`): It identifies the dataset mode (train or dev). split (:obj:`int`, `optional`, defaults to 1): diff --git a/audio/paddleaudio/datasets/gtzan.py b/audio/paddleaudio/datasets/gtzan.py index 6146c4b98..299391968 100644 --- a/audio/paddleaudio/datasets/gtzan.py +++ b/audio/paddleaudio/datasets/gtzan.py @@ -57,7 +57,7 @@ class GTZAN(AudioClassificationDataset): feat_type='raw', **kwargs): """ - Ags: + Args: mode (:obj:`str`, `optional`, defaults to `train`): It identifies the dataset mode (train or dev). seed (:obj:`int`, `optional`, defaults to 0): diff --git a/audio/paddleaudio/datasets/tess.py b/audio/paddleaudio/datasets/tess.py index e311a8df6..a770c5b0c 100644 --- a/audio/paddleaudio/datasets/tess.py +++ b/audio/paddleaudio/datasets/tess.py @@ -66,7 +66,7 @@ class TESS(AudioClassificationDataset): feat_type='raw', **kwargs): """ - Ags: + Args: mode (:obj:`str`, `optional`, defaults to `train`): It identifies the dataset mode (train or dev). seed (:obj:`int`, `optional`, defaults to 0): diff --git a/audio/paddleaudio/datasets/urban_sound.py b/audio/paddleaudio/datasets/urban_sound.py index 4c4467588..b9a5fc030 100644 --- a/audio/paddleaudio/datasets/urban_sound.py +++ b/audio/paddleaudio/datasets/urban_sound.py @@ -62,7 +62,7 @@ class UrbanSound8K(AudioClassificationDataset): super(UrbanSound8K, self).__init__( files=files, labels=labels, feat_type=feat_type, **kwargs) """ - Ags: + Args: mode (:obj:`str`, `optional`, defaults to `train`): It identifies the dataset mode (train or dev). split (:obj:`int`, `optional`, defaults to 1): diff --git a/audio/tests/backends/sox_io/save_test.py b/audio/tests/backends/sox_io/save_test.py index e73f9f63f..de500dc12 100644 --- a/audio/tests/backends/sox_io/save_test.py +++ b/audio/tests/backends/sox_io/save_test.py @@ -41,7 +41,7 @@ class TestSaveBase(TempDirMixin): test_mode: str="path", ): """`save` function produces file that is comparable with `sox` command - To compare that the file produced by `save` function agains the file produced by + To compare that the file produced by `save` function against the file produced by the equivalent `sox` command, we need to load both files. But there are many formats that cannot be opened with common Python modules (like SciPy). diff --git a/demos/TTSAndroid/README.md b/demos/TTSAndroid/README.md index a26172cb6..6a6860400 100644 --- a/demos/TTSAndroid/README.md +++ b/demos/TTSAndroid/README.md @@ -8,7 +8,7 @@ ### 环境准备 -1. 在本地环境安装好 Android Studio 工具，详细安装方法请见 [Android Stuido 官网](https://developer.android.com/studio)。 +1. 在本地环境安装好 Android Studio 工具，详细安装方法请见 [Android Studio 官网](https://developer.android.com/studio)。 2. 准备一部 Android 手机，并开启 USB 调试模式。开启方法: `手机设置 -> 查找开发者选项 -> 打开开发者选项和 USB 调试模式`。 **注意**： @@ -20,10 +20,10 @@ 2. 手机连接电脑，打开 USB 调试和文件传输模式，并在 Android Studio 上连接自己的手机设备（手机需要开启允许从 USB 安装软件权限）。 **注意：** ->1. 如果您在导入项目、编译或者运行过程中遇到 NDK 配置错误的提示，请打开 `File > Project Structure > SDK Location`，修改 `Andriod NDK location` 为您本机配置的 NDK 所在路径。 ->2. 如果您是通过 Andriod Studio 的 SDK Tools 下载的 NDK (见本章节"环境准备")，可以直接点击下拉框选择默认路径。 +>1. 如果您在导入项目、编译或者运行过程中遇到 NDK 配置错误的提示，请打开 `File > Project Structure > SDK Location`，修改 `Android NDK location` 为您本机配置的 NDK 所在路径。 +>2. 如果您是通过 Android Studio 的 SDK Tools 下载的 NDK (见本章节"环境准备")，可以直接点击下拉框选择默认路径。 >3. 还有一种 NDK 配置方法，你可以在 `TTSAndroid/local.properties` 文件中手动添加 NDK 路径配置 `nkd.dir=/root/android-ndk-r20b` ->4. 如果以上步骤仍旧无法解决 NDK 配置错误，请尝试根据 Andriod Studio 官方文档中的[更新 Android Gradle 插件](https://developer.android.com/studio/releases/gradle-plugin?hl=zh-cn#updating-plugin)章节，尝试更新 Android Gradle plugin 版本。 +>4. 如果以上步骤仍旧无法解决 NDK 配置错误，请尝试根据 Android Studio 官方文档中的[更新 Android Gradle 插件](https://developer.android.com/studio/releases/gradle-plugin?hl=zh-cn#updating-plugin)章节，尝试更新 Android Gradle plugin 版本。 3. 点击 Run 按钮，自动编译 APP 并安装到手机。(该过程会自动下载 Paddle Lite 预测库和模型，需要联网) 成功后效果如下： diff --git a/demos/audio_searching/README.md b/demos/audio_searching/README.md index 5b3890382..d3852ace3 100644 --- a/demos/audio_searching/README.md +++ b/demos/audio_searching/README.md @@ -217,7 +217,7 @@ Then to start the system server, and it provides HTTP backend services. - memory：132G dataset： -- CN-Celeb, train size 650,000, test size 10,000, dimention 192, distance L2 +- CN-Celeb, train size 650,000, test size 10,000, dimension 192, distance L2 recall and elapsed time statistics are shown in the following figure： @@ -226,7 +226,7 @@ recall and elapsed time statistics are shown in the following figure： The retrieval framework based on Milvus takes about 2.9 milliseconds to retrieve on the premise of 90% recall rate, and it takes about 500 milliseconds for feature extraction (testing audio takes about 5 seconds), that is, a single audio test takes about 503 milliseconds in total, which can meet most application scenarios. -* compute embeding takes 500 ms +* compute embedding takes 500 ms * retrieval with cosine takes 2.9 ms * total takes 503 ms diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index 178374428..b44ec73fd 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -42,7 +42,7 @@ Currently the engine type supports two forms: python and inference (Paddle Infer paddlespeech_server start --help ``` Arguments: - - `config_file`: yaml file of the app, defalut: ./conf/application.yaml + - `config_file`: yaml file of the app, default: ./conf/application.yaml - `log_file`: log file. Default: ./log/paddlespeech.log Output: diff --git a/demos/speech_web/web_client/yarn.lock b/demos/speech_web/web_client/yarn.lock index 741bfc005..2e6bac334 100644 --- a/demos/speech_web/web_client/yarn.lock +++ b/demos/speech_web/web_client/yarn.lock @@ -22,28 +22,11 @@ "@ant-design/colors" "^6.0.0" "@ant-design/icons-svg" "^4.2.1" -"@babel/helper-string-parser@^7.25.9": - version "7.25.9" - resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz#1aabb72ee72ed35789b4bbcad3ca2862ce614e8c" - integrity sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA== - -"@babel/helper-validator-identifier@^7.25.9": - version "7.25.9" - resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz#24b64e2c3ec7cd3b3c547729b8d16871f22cbdc7" - integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ== - "@babel/parser@^7.16.4": version "7.17.9" resolved "https://registry.npmmirror.com/@babel/parser/-/parser-7.17.9.tgz" integrity sha512-vqUSBLP8dQHFPdPi9bc5GK9vRkYHJ49fsZdtoJ8EQ8ibpwk5rPKfvNIwChB0KVXcIjcepEBBd2VHC5r9Gy8ueg== -"@babel/parser@^7.25.3": - 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version "2.77.3" - resolved "https://registry.yarnpkg.com/rollup/-/rollup-2.77.3.tgz#8f00418d3a2740036e15deb653bed1a90ee0cc12" - integrity sha512-/qxNTG7FbmefJWoeeYJFbHehJ2HNWnjkAFRKzWN/45eNBBF/r8lo992CwcJXEzyVxs5FmfId+vTSTQDb+bxA+g== + version "2.70.1" + resolved "https://registry.npmmirror.com/rollup/-/rollup-2.70.1.tgz" + integrity sha512-CRYsI5EuzLbXdxC6RnYhOuRdtz4bhejPMSWjsFLfVM/7w/85n2szZv6yExqUXsBdz5KT8eoubeyDUDjhLHEslA== optionalDependencies: fsevents "~2.3.2" @@ -973,14 +765,9 @@ shallow-equal@^1.0.0: resolved "https://registry.npmmirror.com/shallow-equal/-/shallow-equal-1.2.1.tgz" integrity sha512-S4vJDjHHMBaiZuT9NPb616CSmLf618jawtv3sufLl6ivK8WocjAo58cXwbRV1cgqxH0Qbv+iUt6m05eqEa2IRA== -source-map-js@^1.0.2: - version "1.0.2" - resolved "https://registry.npmmirror.com/source-map-js/-/source-map-js-1.0.2.tgz" - integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw== - -source-map-js@^1.2.0, source-map-js@^1.2.1: +source-map-js@^1.2.1: version "1.2.1" - 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- `config_file`: yaml file of the app, defalut: `./conf/application.yaml` + - `config_file`: yaml file of the app, default: `./conf/application.yaml` - `log_file`: log file. Default: `./log/paddlespeech.log` Output: @@ -307,7 +307,7 @@ wget -c https://paddlespeech.cdn.bcebos.com/PaddleAudio/zh.wav - Command Line **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file. ```bash - In PaddleSpeech/demos/streaming_asr_server directory to lanuch punctuation service + In PaddleSpeech/demos/streaming_asr_server directory to launch punctuation service paddlespeech_server start --config_file conf/punc_application.yaml ``` @@ -414,7 +414,7 @@ wget -c https://paddlespeech.cdn.bcebos.com/PaddleAudio/zh.wav By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively. -We use `streaming_ asr_server.py` and `punc_server.py` two services to lanuch streaming speech recognition and punctuation prediction services respectively. And the `websocket_client.py` script can be used to call streaming speech recognition and punctuation prediction services at the same time. +We use `streaming_ asr_server.py` and `punc_server.py` two services to launch streaming speech recognition and punctuation prediction services respectively. And the `websocket_client.py` script can be used to call streaming speech recognition and punctuation prediction services at the same time. ### 1. Start two server @@ -584,7 +584,7 @@ bash server.sh By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively. -We use `streaming_ asr_server.py` and `punc_server.py` two services to lanuch streaming speech recognition and punctuation prediction services respectively. And the `websocket_client_srt.py` script can be used to call streaming speech recognition and punctuation prediction services at the same time, and will generate the corresponding subtitle (.srt format). +We use `streaming_ asr_server.py` and `punc_server.py` two services to launch streaming speech recognition and punctuation prediction services respectively. And the `websocket_client_srt.py` script can be used to call streaming speech recognition and punctuation prediction services at the same time, and will generate the corresponding subtitle (.srt format). **need to install ffmpeg before running this script** diff --git a/demos/streaming_tts_server/README.md b/demos/streaming_tts_server/README.md index ad87bebdc..01cd69620 100644 --- a/demos/streaming_tts_server/README.md +++ b/demos/streaming_tts_server/README.md @@ -52,7 +52,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. paddlespeech_server start --help ``` Arguments: - - `config_file`: yaml file of the app, defalut: ./conf/tts_online_application.yaml + - `config_file`: yaml file of the app, default: ./conf/tts_online_application.yaml - `log_file`: log file. Default: ./log/paddlespeech.log Output: @@ -180,7 +180,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. paddlespeech_server start --help ``` Arguments: - - `config_file`: yaml file of the app, defalut: ./conf/tts_online_application.yaml + - `config_file`: yaml file of the app, default: ./conf/tts_online_application.yaml - `log_file`: log file. Default: ./log/paddlespeech.log Output: diff --git a/demos/text_to_speech/README.md b/demos/text_to_speech/README.md index b58777def..61c20c371 100644 --- a/demos/text_to_speech/README.md +++ b/demos/text_to_speech/README.md @@ -99,7 +99,7 @@ The input of this demo should be a text of the specific language that can be pas Arguments: - `input`(required): Input text to generate.. - `am`: Acoustic model type of tts task. Default: `fastspeech2_csmsc`. - - `am_config`: Config of acoustic model. Use deault config when it is None. Default: `None`. + - `am_config`: Config of acoustic model. Use default config when it is None. Default: `None`. - `am_ckpt`: Acoustic model checkpoint. Use pretrained model when it is None. Default: `None`. - `am_stat`: Mean and standard deviation used to normalize spectrogram when training acoustic model. Default: `None`. - `phones_dict`: Phone vocabulary file. Default: `None`. @@ -107,7 +107,7 @@ The input of this demo should be a text of the specific language that can be pas - `speaker_dict`: speaker id map file. Default: `None`. - `spk_id`: Speaker id for multi speaker acoustic model. Default: `0`. - `voc`: Vocoder type of tts task. Default: `pwgan_csmsc`. - - `voc_config`: Config of vocoder. Use deault config when it is None. Default: `None`. + - `voc_config`: Config of vocoder. Use default config when it is None. Default: `None`. - `voc_ckpt`: Vocoder checkpoint. Use pretrained model when it is None. Default: `None`. - `voc_stat`: Mean and standard deviation used to normalize spectrogram when training vocoder. Default: `None`. - `lang`: Language of tts task. Default: `zh`. diff --git a/demos/whisper/README.md b/demos/whisper/README.md index ccd695d5e..1d8e8c442 100644 --- a/demos/whisper/README.md +++ b/demos/whisper/README.md @@ -42,7 +42,7 @@ Whisper model trained by OpenAI whisper https://github.com/openai/whisper - `model`: Model type of asr task. Default: `whisper-large`. - `task`: Output type. Default: `transcribe`. - `lang`: Model language. Default: ``. Use `en` to choice English-only model. Now [medium,base,small,tiny] size can support English-only. - - `size`: Model size for decode. Defalut: `large`. Now can support [large,medium,base,small,tiny]. + - `size`: Model size for decode. Default: `large`. Now can support [large,medium,base,small,tiny]. - `language`: Set decode language. Default: `None`. Forcibly set the recognized language, which is determined by the model itself by default. - `sample_rate`: Sample rate of the model. Default: `16000`. Other sampling rates are not supported now. - `config`: Config of asr task. Use pretrained model when it is None. Default: `None`. diff --git a/docs/source/tts/advanced_usage.md b/docs/source/tts/advanced_usage.md index 4dd742b70..9f86689e7 100644 --- a/docs/source/tts/advanced_usage.md +++ b/docs/source/tts/advanced_usage.md @@ -303,7 +303,7 @@ The experimental codes in PaddleSpeech TTS are generally organized as follows: . ├── README.md (help information) ├── conf -│ └── default.yaml (defalut config) +│ └── default.yaml (default config) ├── local │ ├── preprocess.sh (script to call data preprocessing.py) │ ├── synthesize.sh (script to call synthesis.py) diff --git a/examples/aishell/asr0/local/train.sh b/examples/aishell/asr0/local/train.sh index c0da33257..8c12066c4 100755 --- a/examples/aishell/asr0/local/train.sh +++ b/examples/aishell/asr0/local/train.sh @@ -26,8 +26,8 @@ if [ ${seed} != 0 ]; then export FLAGS_cudnn_deterministic=True fi -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/aishell/asr1/local/train.sh b/examples/aishell/asr1/local/train.sh index 3d4f052a3..ea64d42c4 100755 --- a/examples/aishell/asr1/local/train.sh +++ b/examples/aishell/asr1/local/train.sh @@ -35,8 +35,8 @@ echo ${ips_config} mkdir -p exp -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/csmsc/voc3/conf/default.yaml b/examples/csmsc/voc3/conf/default.yaml index a5ee17808..c424759d2 100644 --- a/examples/csmsc/voc3/conf/default.yaml +++ b/examples/csmsc/voc3/conf/default.yaml @@ -4,7 +4,7 @@ # This configuration requires ~ 8GB memory and will finish within 7 days on Titan V. # This configuration is based on full-band MelGAN but the hop size and sampling -# rate is different from the paper (16kHz vs 24kHz). The number of iteraions +# rate is different from the paper (16kHz vs 24kHz). The number of iterations # is not shown in the paper so currently we train 1M iterations (not sure enough # to converge). diff --git a/examples/csmsc/voc3/conf/finetune.yaml b/examples/csmsc/voc3/conf/finetune.yaml index 8c37ac302..2aeb3c3f3 100644 --- a/examples/csmsc/voc3/conf/finetune.yaml +++ b/examples/csmsc/voc3/conf/finetune.yaml @@ -4,7 +4,7 @@ # This configuration requires ~ 8GB memory and will finish within 7 days on Titan V. # This configuration is based on full-band MelGAN but the hop size and sampling -# rate is different from the paper (16kHz vs 24kHz). The number of iteraions +# rate is different from the paper (16kHz vs 24kHz). The number of iterations # is not shown in the paper so currently we train 1M iterations (not sure enough # to converge). diff --git a/examples/librispeech/asr0/local/train.sh b/examples/librispeech/asr0/local/train.sh index bb41fd554..e7d0b54c4 100755 --- a/examples/librispeech/asr0/local/train.sh +++ b/examples/librispeech/asr0/local/train.sh @@ -26,8 +26,8 @@ if [ ${seed} != 0 ]; then export FLAGS_cudnn_deterministic=True fi -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/librispeech/asr1/local/train.sh b/examples/librispeech/asr1/local/train.sh index e274b9133..55a88e116 100755 --- a/examples/librispeech/asr1/local/train.sh +++ b/examples/librispeech/asr1/local/train.sh @@ -29,8 +29,8 @@ fi # export FLAGS_cudnn_exhaustive_search=true # export FLAGS_conv_workspace_size_limit=4000 -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/librispeech/asr2/local/train.sh b/examples/librispeech/asr2/local/train.sh index c2f2d4b65..4c6723a7a 100755 --- a/examples/librispeech/asr2/local/train.sh +++ b/examples/librispeech/asr2/local/train.sh @@ -26,8 +26,8 @@ if [ ${seed} != 0 ]; then export FLAGS_cudnn_deterministic=True fi -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/tal_cs/asr1/local/data.sh b/examples/tal_cs/asr1/local/data.sh index 7ea12809f..c03650aca 100644 --- a/examples/tal_cs/asr1/local/data.sh +++ b/examples/tal_cs/asr1/local/data.sh @@ -24,7 +24,7 @@ mkdir -p ${TARGET_DIR} #prepare data if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then if [ ! -d "${MAIN_ROOT}/dataset/tal_cs/TALCS_corpus" ]; then - echo "${MAIN_ROOT}/dataset/tal_cs/TALCS_corpus does not exist. Please donwload tal_cs data and unpack it from https://ai.100tal.com/dataset first." + echo "${MAIN_ROOT}/dataset/tal_cs/TALCS_corpus does not exist. Please download tal_cs data and unpack it from https://ai.100tal.com/dataset first." echo "data md5 reference: 4c879b3c9c05365fc9dee1fc68713afe" exit fi diff --git a/examples/tal_cs/asr1/local/train.sh b/examples/tal_cs/asr1/local/train.sh index bfa8dd97d..f70137b11 100755 --- a/examples/tal_cs/asr1/local/train.sh +++ b/examples/tal_cs/asr1/local/train.sh @@ -35,8 +35,8 @@ echo ${ips_config} mkdir -p exp -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/timit/asr1/local/train.sh b/examples/timit/asr1/local/train.sh index 1088c7ffa..2c961a571 100755 --- a/examples/timit/asr1/local/train.sh +++ b/examples/timit/asr1/local/train.sh @@ -19,8 +19,8 @@ if [ ${seed} != 0 ]; then export FLAGS_cudnn_deterministic=True fi -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/tiny/asr0/local/train.sh b/examples/tiny/asr0/local/train.sh index e233a0c0a..aa89ed2bd 100755 --- a/examples/tiny/asr0/local/train.sh +++ b/examples/tiny/asr0/local/train.sh @@ -32,8 +32,8 @@ fi mkdir -p exp -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/tiny/asr1/local/train.sh b/examples/tiny/asr1/local/train.sh index fbfb41f6f..dcc1ad5de 100755 --- a/examples/tiny/asr1/local/train.sh +++ b/examples/tiny/asr1/local/train.sh @@ -34,8 +34,8 @@ fi mkdir -p exp -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/examples/wenetspeech/asr1/local/train.sh b/examples/wenetspeech/asr1/local/train.sh index 6813d270c..fe5773e39 100755 --- a/examples/wenetspeech/asr1/local/train.sh +++ b/examples/wenetspeech/asr1/local/train.sh @@ -35,8 +35,8 @@ echo ${ips_config} mkdir -p exp -# default memeory allocator strategy may case gpu training hang -# for no OOM raised when memory exhaused +# default memory allocator strategy may case gpu training hang +# for no OOM raised when memory exhausted export FLAGS_allocator_strategy=naive_best_fit if [ ${ngpu} == 0 ]; then diff --git a/paddlespeech/cli/asr/infer.py b/paddlespeech/cli/asr/infer.py index 231a00f4d..548beb7ba 100644 --- a/paddlespeech/cli/asr/infer.py +++ b/paddlespeech/cli/asr/infer.py @@ -79,7 +79,7 @@ class ASRExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of asr task. Use deault config when it is None.') + help='Config of asr task. Use default config when it is None.') self.parser.add_argument( '--decode_method', type=str, diff --git a/paddlespeech/cli/cls/infer.py b/paddlespeech/cli/cls/infer.py index fa49f7bdb..54780fdd2 100644 --- a/paddlespeech/cli/cls/infer.py +++ b/paddlespeech/cli/cls/infer.py @@ -51,7 +51,7 @@ class CLSExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of cls task. Use deault config when it is None.') + help='Config of cls task. Use default config when it is None.') self.parser.add_argument( '--ckpt_path', type=str, diff --git a/paddlespeech/cli/kws/infer.py b/paddlespeech/cli/kws/infer.py index 6dee4cc84..467b463f7 100644 --- a/paddlespeech/cli/kws/infer.py +++ b/paddlespeech/cli/kws/infer.py @@ -58,7 +58,7 @@ class KWSExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of kws task. Use deault config when it is None.') + help='Config of kws task. Use default config when it is None.') self.parser.add_argument( '--ckpt_path', type=str, diff --git a/paddlespeech/cli/ssl/infer.py b/paddlespeech/cli/ssl/infer.py index 33cdf7637..37ad0bd9d 100644 --- a/paddlespeech/cli/ssl/infer.py +++ b/paddlespeech/cli/ssl/infer.py @@ -76,7 +76,7 @@ class SSLExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of asr task. Use deault config when it is None.') + help='Config of asr task. Use default config when it is None.') self.parser.add_argument( '--decode_method', type=str, diff --git a/paddlespeech/cli/st/infer.py b/paddlespeech/cli/st/infer.py index 7e9957129..5dab6f53b 100644 --- a/paddlespeech/cli/st/infer.py +++ b/paddlespeech/cli/st/infer.py @@ -82,7 +82,7 @@ class STExecutor(BaseExecutor): "--config", type=str, default=None, - help="Config of st task. Use deault config when it is None.") + help="Config of st task. Use default config when it is None.") self.parser.add_argument( "--ckpt_path", type=str, diff --git a/paddlespeech/cli/text/infer.py b/paddlespeech/cli/text/infer.py index bd76a13d0..59286ea31 100644 --- a/paddlespeech/cli/text/infer.py +++ b/paddlespeech/cli/text/infer.py @@ -63,7 +63,7 @@ class TextExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of cls task. Use deault config when it is None.') + help='Config of cls task. Use default config when it is None.') self.parser.add_argument( '--ckpt_path', type=str, diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index beba7f602..1f128dfe9 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -90,7 +90,7 @@ class TTSExecutor(BaseExecutor): '--am_config', type=str, default=None, - help='Config of acoustic model. Use deault config when it is None.') + help='Config of acoustic model. Use default config when it is None.') self.parser.add_argument( '--am_ckpt', type=str, @@ -148,7 +148,7 @@ class TTSExecutor(BaseExecutor): '--voc_config', type=str, default=None, - help='Config of voc. Use deault config when it is None.') + help='Config of voc. Use default config when it is None.') self.parser.add_argument( '--voc_ckpt', type=str, diff --git a/paddlespeech/cli/vector/infer.py b/paddlespeech/cli/vector/infer.py index c4ae11c75..29c32e516 100644 --- a/paddlespeech/cli/vector/infer.py +++ b/paddlespeech/cli/vector/infer.py @@ -82,7 +82,7 @@ class VectorExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of asr task. Use deault config when it is None.') + help='Config of asr task. Use default config when it is None.') self.parser.add_argument( "--device", type=str, diff --git a/paddlespeech/cli/whisper/infer.py b/paddlespeech/cli/whisper/infer.py index 17e8c0b8c..5649b757f 100644 --- a/paddlespeech/cli/whisper/infer.py +++ b/paddlespeech/cli/whisper/infer.py @@ -96,7 +96,7 @@ class WhisperExecutor(BaseExecutor): '--config', type=str, default=None, - help='Config of asr task. Use deault config when it is None.') + help='Config of asr task. Use default config when it is None.') self.parser.add_argument( '--decode_method', type=str, diff --git a/paddlespeech/s2t/modules/align.py b/paddlespeech/s2t/modules/align.py index 46d8796ab..a206a350c 100644 --- a/paddlespeech/s2t/modules/align.py +++ b/paddlespeech/s2t/modules/align.py @@ -17,7 +17,7 @@ import paddle from paddle import nn """ To align the initializer between paddle and torch, - the API below are set defalut initializer with priority higger than global initializer. + the API below are set default initializer with priority higger than global initializer. """ global_init_type = None diff --git a/paddlespeech/s2t/training/cli.py b/paddlespeech/s2t/training/cli.py index ded2aff9f..fc0caf10a 100644 --- a/paddlespeech/s2t/training/cli.py +++ b/paddlespeech/s2t/training/cli.py @@ -47,7 +47,7 @@ def default_argument_parser(parser=None): other experiments with t2s. It requires a minimal set of command line arguments to start a training script. - The ``--config`` and ``--opts`` are used for overwrite the deault + The ``--config`` and ``--opts`` are used for overwrite the default configuration. The ``--data`` and ``--output`` specifies the data path and output path. diff --git a/paddlespeech/t2s/modules/diffusion.py b/paddlespeech/t2s/modules/diffusion.py index adbd9ce7f..f00ddc595 100644 --- a/paddlespeech/t2s/modules/diffusion.py +++ b/paddlespeech/t2s/modules/diffusion.py @@ -40,7 +40,7 @@ class GaussianDiffusion(nn.Layer): num_max_timesteps (int, optional): The max timestep transition from real to noise, by default None. stretch (bool, optional): - Whether to stretch before diffusion, by defalut True. + Whether to stretch before diffusion, by default True. min_values: (paddle.Tensor): The minimum value of the feature to stretch. max_values: (paddle.Tensor): diff --git a/paddlespeech/t2s/training/cli.py b/paddlespeech/t2s/training/cli.py index 83dae1177..d503744d5 100644 --- a/paddlespeech/t2s/training/cli.py +++ b/paddlespeech/t2s/training/cli.py @@ -21,7 +21,7 @@ def default_argument_parser(): other experiments with t2s. It requires a minimal set of command line arguments to start a training script. - The ``--config`` and ``--opts`` are used for overwrite the deault + The ``--config`` and ``--opts`` are used for overwrite the default configuration. The ``--data`` and ``--output`` specifies the data path and output path. diff --git a/paddlespeech/utils/initialize.py b/paddlespeech/utils/initialize.py index 8ebe6845e..efa6ee6d5 100644 --- a/paddlespeech/utils/initialize.py +++ b/paddlespeech/utils/initialize.py @@ -234,7 +234,7 @@ def kaiming_uniform_(tensor, Modified tensor inspace using kaiming_uniform method Args: tensor (paddle.Tensor): paddle Tensor - mode (str): ['fan_in', 'fan_out'], 'fin_in' defalut + mode (str): ['fan_in', 'fan_out'], 'fin_in' default nonlinearity (str): nonlinearity method name reverse (bool): reverse (bool: False): tensor data format order, False by default as [fout, fin, ...]. Return: @@ -256,7 +256,7 @@ def kaiming_normal_(tensor, Modified tensor inspace using kaiming_normal_ Args: tensor (paddle.Tensor): paddle Tensor - mode (str): ['fan_in', 'fan_out'], 'fin_in' defalut + mode (str): ['fan_in', 'fan_out'], 'fin_in' default nonlinearity (str): nonlinearity method name reverse (bool): reverse (bool: False): tensor data format order, False by default as [fout, fin, ...]. Return: diff --git a/runtime/examples/custom_asr/README.md b/runtime/examples/custom_asr/README.md index 33cf4ff03..992e5aac5 100644 --- a/runtime/examples/custom_asr/README.md +++ b/runtime/examples/custom_asr/README.md @@ -13,7 +13,7 @@ eg: * after replace operation, G = fstreplace(G_with_slot, address_slot), we will get the customized graph. ![](https://ai-studio-static-online.cdn.bcebos.com/60a3095293044f10b73039ab10c7950d139a6717580a44a3ba878c6e74de402b) -These operations are in the scripts, please check out. we will lanuch more detail scripts. +These operations are in the scripts, please check out. we will launch more detail scripts. ## How to run