@ -157,14 +157,15 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision
- 🧩 *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).
### Recent Update
- 🔥 2022.11.07: [U2/U2++ C++ High Performance Streaming Asr Deployment](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/speechx/examples/u2pp_ol/wenetspeech).
- 👑 2022.11.01: Add [Adversarial Loss](https://arxiv.org/pdf/1907.04448.pdf) for [Chinese English mixed TTS](./examples/zh_en_tts/tts3).
- 🔥 2022.10.26: Add [Prosody Prediction](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/other/rhy) for TTS.
- 🎉 2022.10.21: Add [SSML](https://github.com/PaddlePaddle/PaddleSpeech/discussions/2538) for TTS Chinese Text Frontend.
- 👑 2022.10.11: Add [Wav2vec2ASR](./examples/librispeech/asr3), wav2vec2.0 fine-tuning for ASR on LibriSpeech.
- 🔥 2022.09.26: Add Voice Cloning, TTS finetune, and ERNIE-SAT in [PaddleSpeech Web Demo](./demos/speech_web).
- 🔥 2022.09.26: Add Voice Cloning, TTS finetune, and [ERNIE-SAT](https://arxiv.org/abs/2211.03545) in [PaddleSpeech Web Demo](./demos/speech_web).
ERNIE-SAT speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.
[ERNIE-SAT](https://arxiv.org/abs/2211.03545) speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.
ERNIE-SAT speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.
[ERNIE-SAT](https://arxiv.org/abs/2211.03545) speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.
@ -55,7 +55,7 @@ If you want to finetune Chinese pretrained model, you need to prepare Chinese da
000001|ka2 er2 pu3 pei2 wai4 sun1 wan2 hua2 ti1
```
Here is an example of the first 200 data of csmsc.
Here is a Chinese data example of the first 200 data of csmsc.
```bash
mkdir -p input && cd input
@ -69,7 +69,7 @@ If you want to finetune English pretrained model, you need to prepare English da
LJ001-0001|Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition
```
Here is an example of the first 200 data of ljspeech.
Here is an English data example of the first 200 data of ljspeech.
```bash
mkdir -p input && cd input
@ -78,7 +78,7 @@ unzip ljspeech_mini.zip
cd ../
```
If you want to finetune Chinese-English Mixed pretrained model, you need to prepare Chinese data or English data. Here is an example of the first 12 data of SSB0005 (the speaker of aishell3).
If you want to finetune Chinese-English Mixed pretrained model, you need to prepare Chinese data or English data. Here is a Chinese data example of the first 12 data of SSB0005 (the speaker of aishell3).
ERNIE-SAT speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.
[ERNIE-SAT](https://arxiv.org/abs/2211.03545) speech-text joint pretraining framework, which achieves SOTA results in cross-lingual multi-speaker speech synthesis and cross-lingual speech editing tasks, It can be applied to a series of scenarios such as Speech Editing, personalized Speech Synthesis, and Voice Cloning.