Whisper Small Kinyarwanda

🚀 自動語音識別模型 - 基尼亞盧旺達語微調版

本項目是一個基於OpenAI的Whisper模型的自動語音識別項目，通過在基尼亞盧旺達語的Common Voice數據集上進行微調，讓模型能夠更好地處理基尼亞盧旺達語的語音識別任務，為相關語音處理場景提供了有效的解決方案。

🚀 快速開始

本模型是基於OpenAI的whisper-small模型，在基尼亞盧旺達語的Common Voice數據集上進行微調得到的。通過在斯瓦希里語的基礎上進行微調，加入了基尼亞盧旺達語的支持。該模型的字錯誤率（WER）達到了24%，目前暫不提供基尼亞盧旺達語到英語的翻譯功能。

💻 使用示例

基礎用法

>>> from transformers import WhisperProcessor, WhisperForConditionalGeneration
>>> from datasets import load_dataset
>>> import datasets
>>> import torch
>>> # load model and processor
>>> processor = WhisperProcessor.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda")
>>> model = WhisperForConditionalGeneration.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda")
>>> ds = load_dataset("common_voice", "rw", split="test", streaming=True)
>>> ds = ds.cast_column("audio", datasets.Audio(sampling_rate=16_000))
>>> input_speech = next(iter(ds))["audio"]["array"]
>>> model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language = "sw", task = "transcribe")
>>> input_features = processor(input_speech, return_tensors="pt").input_features 
>>> predicted_ids = model.generate(input_features)
>>> transcription = processor.batch_decode(predicted_ids)
['<|startoftranscript|><|sw|><|transcribe|><|notimestamps|>Abamugariye ku rugamba bafashwa kubona insimburangingo<|endoftext|>']
>>> transcription = processor.batch_decode(predicted_ids, skip_special_tokens = True)
['Abamugariye ku rugamba bafashwa kubona insimburangingo']

📚 詳細文檔