Initial commit: FunASR Speech Recognition Toolkit

Add complete FunASR codebase including models, runtime, and documentation.

examples/industrial_data_pretraining/scama/demo.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+# -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+#  MIT License  (https://opensource.org/licenses/MIT)
+
+from funasr import AutoModel
+
+chunk_size = [5, 10, 5]  # [0, 10, 5] 600ms, [0, 8, 4] 480ms
+encoder_chunk_look_back = 0  # number of chunks to lookback for encoder self-attention
+decoder_chunk_look_back = 0  # number of encoder chunks to lookback for decoder cross-attention
+
+model = AutoModel(
+    model="/Users/zhifu/Downloads/modelscope_models/speech_SCAMA_asr-zh-cn-16k-common-vocab8358-streaming"
+)
+cache = {}
+res = model.generate(
+    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+    chunk_size=chunk_size,
+    encoder_chunk_look_back=encoder_chunk_look_back,
+    decoder_chunk_look_back=decoder_chunk_look_back,
+)
+print(res)
+
+
+import soundfile
+import os
+
+wav_file = os.path.join(model.model_path, "example/asr_example.wav")
+speech, sample_rate = soundfile.read(wav_file)
+
+chunk_stride = chunk_size[1] * 960  # 600ms、480ms
+
+cache = {}
+total_chunk_num = int(len((speech) - 1) / chunk_stride + 1)
+for i in range(total_chunk_num):
+    speech_chunk = speech[i * chunk_stride : (i + 1) * chunk_stride]
+    is_final = i == total_chunk_num - 1
+    res = model.generate(
+        input=speech_chunk,
+        cache=cache,
+        is_final=is_final,
+        chunk_size=chunk_size,
+        encoder_chunk_look_back=encoder_chunk_look_back,
+        decoder_chunk_look_back=decoder_chunk_look_back,
+    )
+    print(res)