Support streaming zipformer CTC (#496)
* Support streaming zipformer CTC * test online zipformer2 CTC * Update doc of sherpa-onnx.cc * Add Python APIs for streaming zipformer2 ctc * Add Python API examples for streaming zipformer2 ctc * Swift API for streaming zipformer2 CTC * NodeJS API for streaming zipformer2 CTC * Kotlin API for streaming zipformer2 CTC * Golang API for streaming zipformer2 CTC * C# API for streaming zipformer2 CTC * Release v1.9.6
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@@ -37,7 +37,20 @@ git lfs pull --include "*.onnx"
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./sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs/3.wav \
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./sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs/8k.wav
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(3) Streaming Conformer CTC from WeNet
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(3) Streaming Zipformer2 CTC
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2
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tar xvf sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2
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rm sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2
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ls -lh sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13
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./python-api-examples/online-decode-files.py \
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--zipformer2-ctc=./sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13/ctc-epoch-20-avg-1-chunk-16-left-128.onnx \
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--tokens=./sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13/tokens.txt \
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./sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13/test_wavs/DEV_T0000000000.wav \
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./sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13/test_wavs/DEV_T0000000001.wav
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(4) Streaming Conformer CTC from WeNet
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/csukuangfj/sherpa-onnx-zh-wenet-wenetspeech
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cd sherpa-onnx-zh-wenet-wenetspeech
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@@ -51,12 +64,9 @@ git lfs pull --include "*.onnx"
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./sherpa-onnx-zh-wenet-wenetspeech/test_wavs/8k.wav
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/index.html
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and
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https://k2-fsa.github.io/sherpa/onnx/pretrained_models/wenet/index.html
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to install sherpa-onnx and to download streaming pre-trained models.
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https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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to download streaming pre-trained models.
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"""
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import argparse
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import time
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@@ -97,6 +107,12 @@ def get_args():
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help="Path to the transducer joiner model",
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)
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parser.add_argument(
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"--zipformer2-ctc",
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type=str,
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help="Path to the zipformer2 ctc model",
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)
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parser.add_argument(
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"--paraformer-encoder",
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type=str,
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@@ -112,7 +128,7 @@ def get_args():
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parser.add_argument(
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"--wenet-ctc",
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type=str,
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help="Path to the wenet ctc model model",
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help="Path to the wenet ctc model",
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)
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parser.add_argument(
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@@ -275,6 +291,16 @@ def main():
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hotwords_file=args.hotwords_file,
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hotwords_score=args.hotwords_score,
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)
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elif args.zipformer2_ctc:
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recognizer = sherpa_onnx.OnlineRecognizer.from_zipformer2_ctc(
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tokens=args.tokens,
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model=args.zipformer2_ctc,
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num_threads=args.num_threads,
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provider=args.provider,
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sample_rate=16000,
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feature_dim=80,
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decoding_method="greedy_search",
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)
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elif args.paraformer_encoder:
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recognizer = sherpa_onnx.OnlineRecognizer.from_paraformer(
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tokens=args.tokens,
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@@ -25,6 +25,7 @@ https://github.com/k2-fsa/sherpa-onnx/blob/master/sherpa-onnx/csrc/online-websoc
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import argparse
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import asyncio
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import json
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import logging
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import wave
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@@ -112,7 +113,7 @@ async def receive_results(socket: websockets.WebSocketServerProtocol):
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async for message in socket:
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if message != "Done!":
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last_message = message
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logging.info(message)
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logging.info(json.loads(message))
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else:
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break
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return last_message
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@@ -151,7 +152,7 @@ async def run(
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await websocket.send("Done")
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decoding_results = await receive_task
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logging.info(f"\nFinal result is:\n{decoding_results}")
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logging.info(f"\nFinal result is:\n{json.loads(decoding_results)}")
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async def main():
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@@ -137,6 +137,12 @@ def add_model_args(parser: argparse.ArgumentParser):
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help="Path to the transducer joiner model.",
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)
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parser.add_argument(
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"--zipformer2-ctc",
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type=str,
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help="Path to the model file from zipformer2 ctc",
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)
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parser.add_argument(
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"--wenet-ctc",
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type=str,
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@@ -405,6 +411,20 @@ def create_recognizer(args) -> sherpa_onnx.OnlineRecognizer:
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rule3_min_utterance_length=args.rule3_min_utterance_length,
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provider=args.provider,
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)
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elif args.zipformer2_ctc:
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recognizer = sherpa_onnx.OnlineRecognizer.from_zipformer2_ctc(
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tokens=args.tokens,
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model=args.zipformer2_ctc,
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num_threads=args.num_threads,
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sample_rate=args.sample_rate,
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feature_dim=args.feat_dim,
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decoding_method=args.decoding_method,
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enable_endpoint_detection=args.use_endpoint != 0,
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rule1_min_trailing_silence=args.rule1_min_trailing_silence,
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rule2_min_trailing_silence=args.rule2_min_trailing_silence,
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rule3_min_utterance_length=args.rule3_min_utterance_length,
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provider=args.provider,
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)
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elif args.wenet_ctc:
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recognizer = sherpa_onnx.OnlineRecognizer.from_wenet_ctc(
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tokens=args.tokens,
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@@ -748,6 +768,8 @@ def check_args(args):
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assert args.paraformer_encoder is None, args.paraformer_encoder
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assert args.paraformer_decoder is None, args.paraformer_decoder
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assert args.zipformer2_ctc is None, args.zipformer2_ctc
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assert args.wenet_ctc is None, args.wenet_ctc
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elif args.paraformer_encoder:
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assert Path(
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args.paraformer_encoder
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@@ -756,6 +778,10 @@ def check_args(args):
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assert Path(
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args.paraformer_decoder
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).is_file(), f"{args.paraformer_decoder} does not exist"
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elif args.zipformer2_ctc:
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assert Path(
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args.zipformer2_ctc
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).is_file(), f"{args.zipformer2_ctc} does not exist"
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elif args.wenet_ctc:
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assert Path(args.wenet_ctc).is_file(), f"{args.wenet_ctc} does not exist"
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else:
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