First init

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.data filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,117 @@
+    ---
+tasks:
+- auto-speech-recognition
+domain:
+- audio
+model-type:
+- Classification
+frameworks:
+- onnx
+metrics:
+- f1_score
+license: apache-2.0
+language: 
+- cn
+tags:
+- FunASR
+- CT-Transformer
+- Alibaba
+- ICASSP 2020
+widgets:
+  - task: punctuation
+    inputs:
+      - type: text
+        name: input
+        title: 文本
+    examples:
+      - name: 1
+        title: 示例1
+        inputs:
+          - name: input
+            data: 我们都是木头人不会讲话不会动
+    inferencespec:
+      cpu: 1 #CPU数量
+      memory: 4096
+---
+
+# 模型介绍
+
+## Highlights
+
+無量化，量化找官方的。
+
+模型为[SenseVoice多语言语音理解模型Small](https://www.modelscope.cn/models/iic/SenseVoiceSmall)的onnx無量化导出版本，可以直接用来做生产部署，一键部署教程（[点击此处](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/readme_cn.md)
+
+
+## <strong>[ModelScope-FunASR](https://github.com/alibaba-damo-academy/FunASR)</strong>
+<strong>[FunASR](https://github.com/alibaba-damo-academy/FunASR)</strong>提供可便捷本地或者云端服务器部署的离线文件转写服务，内核为FunASR已开源runtime-SDK。 集成了达摩院语音实验室在Modelscope社区开源的语音端点检测(VAD)、Paraformer-large语音识别(ASR)、标点恢复(PUNC) 等相关能力，拥有完整的语音识别链路，可以将几十个小时的音频或视频识别成带标点的文字，而且支持上百路请求同时进行转写。
+
+[**最新动态**](https://github.com/alibaba-damo-academy/FunASR#whats-new) 
+| [**环境安装**](https://github.com/alibaba-damo-academy/FunASR#installation)
+| [**介绍文档**](https://alibaba-damo-academy.github.io/FunASR/en/index.html)
+| [**服务部署**](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/readme_cn.md)
+| [**模型库**](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/model_zoo/modelscope_models.md)
+| [**联系我们**](https://github.com/alibaba-damo-academy/FunASR#contact)
+
+## 快速上手
+### docker安装
+如果您已安装docker，忽略本步骤！!
+通过下述命令在服务器上安装docker：
+```shell
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh；
+sudo bash install_docker.sh
+```
+docker安装失败请参考 [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
+
+### 镜像启动
+通过下述命令拉取并启动FunASR runtime的docker镜像（[获取最新镜像版本](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline_zh.md)）：
+
+```shell
+sudo docker pull \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
+mkdir -p ./funasr-runtime-resources/models
+sudo docker run -p 10095:10095 -it --privileged=true \
+  -v $PWD/funasr-runtime-resources/models:/workspace/models \
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
+```
+
+### 服务端启动
+
+docker启动之后，启动 funasr-wss-server服务程序：
+```shell
+cd FunASR/runtime
+nohup bash run_server.sh \
+  --download-model-dir /workspace/models \
+  --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
+  --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx  \
+  --punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
+  --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
+  --itn-dir thuduj12/fst_itn_zh \
+  --hotword /workspace/models/hotwords.txt > log.out 2>&1 &
+```
+
+### 客户端测试与使用
+
+运行上面安装指令后，会在./funasr-runtime-resources（默认安装目录）中下载客户端测试工具目录samples（[下载点击此处](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_samples.tar.gz)），
+我们以Python语言客户端为例，进行说明，支持多种音频格式输入（.wav, .pcm, .mp3等），也支持视频输入(.mp4等)，以及多文件列表wav.scp输入，其他版本客户端请参考文档（[点击此处](https://alibaba-damo-academy.github.io/FunASR/en/runtime/docs/SDK_tutorial_zh.html#id5)）
+
+```shell
+python3 wss_client_asr.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
+```
+
+更详细用法介绍（[点击此处](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_tutorial_zh.md)）
+
+
+## 相关论文以及引用信息
+
+```BibTeX
+@inproceedings{chen2020controllable,
+  title={Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection},
+  author={Chen, Qian and Chen, Mengzhe and Li, Bo and Wang, Wen},
+  booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
+  pages={8069--8073},
+  year={2020},
+  organization={IEEE}
+}
+```
+

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config.yaml

@@ -0,0 +1,97 @@
+encoder: SenseVoiceEncoderSmall
+encoder_conf:
+    output_size: 512
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 50
+    tp_blocks: 20
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: pe
+    pos_enc_class: SinusoidalPositionEncoder
+    normalize_before: true
+    kernel_size: 11
+    sanm_shfit: 0
+    selfattention_layer_type: sanm
+
+
+model: SenseVoiceSmall
+model_conf:
+    length_normalized_loss: true
+    sos: 1
+    eos: 2
+    ignore_id: -1
+
+tokenizer: SentencepiecesTokenizer
+tokenizer_conf:
+  bpemodel: null
+  unk_symbol: <unk>
+  split_with_space: true
+
+frontend: WavFrontend
+frontend_conf:
+    fs: 16000
+    window: hamming
+    n_mels: 80
+    frame_length: 25
+    frame_shift: 10
+    lfr_m: 7
+    lfr_n: 6
+    cmvn_file: null
+
+
+dataset: SenseVoiceCTCDataset
+dataset_conf:
+  index_ds: IndexDSJsonl
+  batch_sampler: EspnetStyleBatchSampler
+  data_split_num: 32
+  batch_type: token
+  batch_size: 14000
+  max_token_length: 2000
+  min_token_length: 60
+  max_source_length: 2000
+  min_source_length: 60
+  max_target_length: 200
+  min_target_length: 0
+  shuffle: true
+  num_workers: 4
+  sos: ${model_conf.sos}
+  eos: ${model_conf.eos}
+  IndexDSJsonl: IndexDSJsonl
+  retry: 20
+
+train_conf:
+  accum_grad: 1
+  grad_clip: 5
+  max_epoch: 20
+  keep_nbest_models: 10
+  avg_nbest_model: 10
+  log_interval: 100
+  resume: true
+  validate_interval: 10000
+  save_checkpoint_interval: 10000
+
+optim: adamw
+optim_conf:
+  lr: 0.00002
+scheduler: warmuplr
+scheduler_conf:
+  warmup_steps: 25000
+
+specaug: SpecAugLFR
+specaug_conf:
+    apply_time_warp: false
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    lfr_rate: 6
+    num_freq_mask: 1
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 12
+    num_time_mask: 1

configuration.json

@@ -0,0 +1 @@
+{"framework":"Pytorch","task":"auto-speech-recognition"}

model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:71835e1ecb2ce09fa94884e90e740e3285945cf3a09da7fbfb50b265112c8f1b
+size 4066732

model.onnx.data

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+version https://git-lfs.github.com/spec/v1
+oid sha256:18566561d36e866302e5c1827c97bc3eaff87f2dfdfc2dbc42a64ea97a8276d8
+size 936048640