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update multi-hans whisper-qwen-1.5b results (#1657)

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Yuekai Zhang 2024-06-19 11:10:31 +08:00 committed by GitHub
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29
egs/speech_llm/ASR_LLM/RESULTS.md
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### whisper_llm_zh finetuning results
| Training Dataset | Speech Encoder | LLM | Projector |Comment | CER |
| -------------------------| ----------------|------|--------------------------------------------------|-----|--|
| Aishell1 | whisper-large-v2-aishell1-ft, freeze| Qwen2-1.5B-Instruct, LoRA | Linear, 8x downsample| [yuekai/icefall_asr_aishell_whisper_qwen2_1.5B](https://huggingface.co/yuekai/icefall_asr_aishell_whisper_qwen2_1.5B) | Aishell1 Test 3.62% |
<!-- | Multi-hans-zh | whisper-large-v2-multi-hans-ft, freeze| Qwen2-1.5B-Instruct, LoRA | Linear, 8x downsample| WIP ||
| Multi-hans-zh | whisper-large-v2-multi-hans-ft, freeze| Qwen2-7B-Instruct, LoRA | Linear, 8x downsample| WIP || -->
|Model| Training Dataset | Speech Encoder | LLM | Projector |
|-| -------------------------| ----------------|------|---------------|
|[yuekai/icefall_asr_aishell_whisper_qwen2_1.5B](https://huggingface.co/yuekai/icefall_asr_aishell_whisper_qwen2_1.5B) | Aishell1 | whisper-large-v2-aishell1-ft, freeze| Qwen2-1.5B-Instruct, LoRA | Linear, 8x downsample|
| [yuekai/icefall_asr_multi-hans_whisper_qwen2_1.5B](https://huggingface.co/yuekai/icefall_asr_multi-hans_whisper_qwen2_1.5B) |Multi-hans-zh | whisper-large-v2-multi-hans-ft, freeze| Qwen2-1.5B-Instruct, LoRA | Linear, 8x downsample||
CER Details:
| Model | [yuekai/icefall_asr_aishell_whisper_qwen2_1.5B](https://huggingface.co/yuekai/icefall_asr_aishell_whisper_qwen2_1.5B) | [yuekai/icefall_asr_multi-hans_whisper_qwen2_1.5B](https://huggingface.co/yuekai/icefall_asr_multi-hans_whisper_qwen2_1.5B) |
|-------|------------------------------------------------|----------------------------------------------------|
| Split | Greedy Search | Greedy Search |
| aishell-1 dev | - | 0.66 |
| aishell-1 test | 3.62 | 0.68 |
| aishell-2 dev | - | 2.67 |
| aishell-2 test | - | 2.94 |
| aishell-4 test | - | 16.20 |
| alimeeting eval | - | 30.86 |
| alimeeting test | - | 40.50 |
| magicdata dev | - | 2.50 |
| magicdata test | - | 1.70 |
| kespeech-asr dev phase1 | - | 6.22 |
| kespeech-asr dev phase2 | - | 2.18 |
| kespeech-asr test | - | 6.59 |
| WenetSpeech dev | - | 4.59 |
| WenetSpeech test_meeting | - | 6.41 |
| WenetSpeech tes_net | - | 6.63 |
| SPEECHIO Avg 001-026 | - | 4.80 |
Command for training is:
```bash
pip install -r whisper_llm_zh/requirements.txt

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egs/speechio/ASR/local/normalize_results.py
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# See the License for the specific language governing permissions and
# limitations under the License.
"""
This file uses whisper and zipformer decoding results to generate fusion decoding results.
Since whisper model is more likely to make deletion errors and zipformer model is more likely to make substitution and insertion errors,
we trust whisper model when it makes substitution and insertion errors and trust zipformer model when it makes deletion errors.
This file uses speech io offcial pipline to normalize the decoding results.
https://github.com/SpeechColab/Leaderboard/blob/master/utils/textnorm_zh.py
Usage:
python whisper_zipformer_fusion.py --model-log-dir ./whisper_decoding_log_dir --output-log-dir ./results_norm
python normalize_results.py --model-log-dir ./whisper_decoding_log_dir --output-log-dir ./results_norm
"""
import argparse