From 6d932da239b3584b5735f4efb2dbb50b84c385db Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 11 十月 2024 14:37:27 +0800
Subject: [PATCH] whisper-large-v3-turbo

---
 README.md |    7 ++++---
 1 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 487cc5e..225dd13 100644
--- a/README.md
+++ b/README.md
@@ -29,6 +29,7 @@
 
 <a name="whats-new"></a>
 ## What's new:
+- 2024/10/10锛欰dded support for the Whisper-large-v3-turbo model, a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. It can be downloaded from the[modelscope](examples/industrial_data_pretraining/whisper/demo.py), and [openai](examples/industrial_data_pretraining/whisper/demo_from_openai.py).
 - 2024/09/26: Offline File Transcription Service 4.6, Offline File Transcription Service of English 1.7锛孯eal-time Transcription Service 1.11 released锛宖ix memory leak & Support the SensevoiceSmall onnx model锛汧ile Transcription Service 2.0 GPU released, Fix GPU memory leak; ([docs](runtime/readme.md));
 - 2024/09/25锛歬eyword spotting models are new supported. Supports fine-tuning and inference for four models: [fsmn_kws](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online), [fsmn_kws_mt](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online), [sanm_kws](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-offline), [sanm_kws_streaming](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online).
 - 2024/07/04锛歔SenseVoice](https://github.com/FunAudioLLM/SenseVoice) is a speech foundation model with multiple speech understanding capabilities, including ASR, LID, SER, and AED.
@@ -95,18 +96,18 @@
 
 |                                                                                                         Model Name                                                                                                         |                                   Task Details                                   |          Training Data           | Parameters |
 |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------------------------------:|:----------:|
-|                                       SenseVoiceSmall <br> ([猸怾(https://www.modelscope.cn/models/iic/SenseVoiceSmall)  [馃](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) )                                          | multiple speech understanding capabilities, including ASR, ITN, LID, SER, and AED, support languages such as zh, yue, en, ja, ko   |           300000 hours           |   234M     |
+|                                        SenseVoiceSmall <br> ([猸怾(https://www.modelscope.cn/models/iic/SenseVoiceSmall)  [馃](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) )                                         | multiple speech understanding capabilities, including ASR, ITN, LID, SER, and AED, support languages such as zh, yue, en, ja, ko   |           300000 hours           |   234M     |
 |          paraformer-zh <br> ([猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [馃](https://huggingface.co/funasr/paraformer-zh) )           |                speech recognition, with timestamps, non-streaming                |      60000 hours, Mandarin       |    220M    |
 | <nobr>paraformer-zh-streaming <br> ( [猸怾(https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [馃](https://huggingface.co/funasr/paraformer-zh-streaming) )</nobr> |                          speech recognition, streaming                           |      60000 hours, Mandarin       |    220M    |
 |               paraformer-en <br> ( [猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [馃](https://huggingface.co/funasr/paraformer-en) )                |              speech recognition, without timestamps, non-streaming               |       50000 hours, English       |    220M    |
 |                            conformer-en <br> ( [猸怾(https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [馃](https://huggingface.co/funasr/conformer-en) )                             |                        speech recognition, non-streaming                         |       50000 hours, English       |    220M    |
 |                               ct-punc <br> ( [猸怾(https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [馃](https://huggingface.co/funasr/ct-punc) )                               |                             punctuation restoration                              |    100M, Mandarin and English    |    290M    | 
 |                                   fsmn-vad <br> ( [猸怾(https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [馃](https://huggingface.co/funasr/fsmn-vad) )                                   |                             voice activity detection                             | 5000 hours, Mandarin and English |    0.4M    | 
-|                            fsmn-kws <br> ( [猸怾(https://modelscope.cn/models/iic/speech_charctc_kws_phone-xiaoyun/summary) )                             |     keyword spotting锛宻treaming      |  5000 hours, Mandarin  |  0.7M  | 
+|                                                              fsmn-kws <br> ( [猸怾(https://modelscope.cn/models/iic/speech_charctc_kws_phone-xiaoyun/summary) )                                                              |     keyword spotting锛宻treaming      |  5000 hours, Mandarin  |  0.7M  | 
 |                                     fa-zh <br> ( [猸怾(https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [馃](https://huggingface.co/funasr/fa-zh) )                                     |                               timestamp prediction                               |       5000 hours, Mandarin       |    38M     | 
 |                                       cam++ <br> ( [猸怾(https://modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common/summary) [馃](https://huggingface.co/funasr/campplus) )                                        |                         speaker verification/diarization                         |            5000 hours            |    7.2M    | 
-|                                 Whisper-large-v2 <br> ([猸怾(https://www.modelscope.cn/models/iic/speech_whisper-large_asr_multilingual/summary)  [馃崁](https://github.com/openai/whisper) )                                  |                speech recognition, with timestamps, non-streaming                |           multilingual           |   1550 M   |
 |                                            Whisper-large-v3 <br> ([猸怾(https://www.modelscope.cn/models/iic/Whisper-large-v3/summary)  [馃崁](https://github.com/openai/whisper) )                                            |                speech recognition, with timestamps, non-streaming                |           multilingual           |   1550 M   |
+|                                      Whisper-large-v3-turbo <br> ([猸怾(https://www.modelscope.cn/models/iic/Whisper-large-v3-turbo/summary)  [馃崁](https://github.com/openai/whisper) )                                      |                speech recognition, with timestamps, non-streaming                |           multilingual           |   1550 M   |
 |                                               Qwen-Audio <br> ([猸怾(examples/industrial_data_pretraining/qwen_audio/demo.py)  [馃](https://huggingface.co/Qwen/Qwen-Audio) )                                                |                    audio-text multimodal models (pretraining)                    |           multilingual           |     8B     |
 |                                        Qwen-Audio-Chat <br> ([猸怾(examples/industrial_data_pretraining/qwen_audio/demo_chat.py)  [馃](https://huggingface.co/Qwen/Qwen-Audio-Chat) )                                        |                       audio-text multimodal models (chat)                        |           multilingual           |     8B     |
 |                              emotion2vec+large <br> ([猸怾(https://modelscope.cn/models/iic/emotion2vec_plus_large/summary)  [馃](https://huggingface.co/emotion2vec/emotion2vec_plus_large) )                               |                           speech emotion recongintion                            |           40000 hours            |    300M    |

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