Initial commit: FunASR Speech Recognition Toolkit

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

examples/industrial_data_pretraining/eres2netv2_sv/demo.py

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+#!/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
+
+# ASR with speaker diarization using ERes2NetV2
+model = AutoModel(
+    model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
+    vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+    vad_kwargs={"max_single_segment_time": 60000},
+    punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
+    spk_model="iic/speech_eres2netv2_sv_zh-cn_16k-common",
+    device="cuda:0",
+)
+
+res = model.generate(
+    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+    batch_size_s=300,
+)
+
+for sentence in res:
+    print(f"[Speaker {sentence.get('spk', '?')}] {sentence['text']}")

examples/industrial_data_pretraining/eres2netv2_sv/demo_sv.py

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+#!/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
+
+# Standalone speaker verification / embedding extraction
+model = AutoModel(
+    model="iic/speech_eres2netv2_sv_zh-cn_16k-common",
+    device="cuda:0",
+)
+
+# Extract speaker embedding
+res = model.generate(
+    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+)
+
+embedding = res[0]["spk_embedding"]
+print(f"Speaker embedding shape: {embedding.shape}")