pip install nemo_toolkit['asr'] 安装NeMo 后,评估音频文件列表: import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained(model_name="nvidia/parakeet-rnnt-1.1b") transcript = asr_model.transcribe(["some_audio_file.wav"]) 用于长形式语音推理的 ...
pip install nemo_toolkit['asr'] 安装NeMo 后,您可以使用 Parakeet-TDT 识别音频文件,如下所示: importnemo.collections.asr as nemo_asr asr_model=nemo_asr.models.ASRModel.from_pretrained(model_name="nvidia/parakeet-tdt-1.1b") transcript=asr_model.transcribe(["some_audio_file.wav"]) 结束语 Parake...
quartznet=nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-En")# Punctuation and capitalization model punctuation=nemo_nlp.models.PunctuationCapitalizationModel.from_pretrained(model_name='Punctuation _Capitalization_with_DistilBERT')# Spectrogram generator which takes textasan i...
asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-tdt_ctc-110m") transcriptions = asr_model.transcribe(['<file_path>']) print(transcriptions[0].text) nithinraokadded ASR on Mar 10, 2025 ceyxasm commented on Mar 12, 2025 ceyxasm on Mar 12, 2025...
vocoder = nemo_tts.models.WaveGlowModel.from_pretrained(model_nam) 大多数 NeMo 模型可以使用from_pretrained()函数直接从 NVIDIA NGC 目录 中直接实例化。通过调用list_available_models()函数,你可以查看每个模型的可用预训练权重列表。 从上面的代码片段中可以看到,我们将使用 QuartzNet 模型 进行语音识别,一个...
运行示例:创建一个Python脚本,导入NemoASR库并调用其说话人识别功能。下面是一个简单的示例代码: from nemo.collections import asr as nemo_asr import torch # 加载预训练模型 asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained('timit') asr_model.cuda() asr_model.eval() # 读取音频文件 with...
will be fetched from huggingfaceasr_model=nemo_asr.models.ASRModel.from_pretrained("nvidia/stt_en_fastconformer_transducer_large")# you can also load open-sourced NeMo models released by other HF users using:# asr_model = nemo_asr.models.ASRModel.from_pretrained("<HF username>/<model name>...
import nemo import nemo.collections.asr as nemo_asr Then chose what type of model you would like to instantiate. See table below for the list of model base classes. Then usebase_class.from_pretrained(...)method. For example: quartznet = nemo_asr.models.EncDecCTCModel.from_pretrained(model...
在进行微调之前,请参考上一个博客中 NMT 模型评估章节的介绍,把 NeMo 预训练模型下载到./model/pretrained_ckpt/en_zh_24x6.nemo。然后,您可以使用收集的数据集对 NeMo EN-ZH 模型进行微调。请注意,批处理大小将取决于 GPU 显存的大小。 训练完成后,结果和权重文件将被保存到./output/AAYNBaseFineTune路径。您...
Model Classes# class nemo.collections.asr.models.EncDecCTCModel(*args: Any, **kwargs: Any)# Bases: ASRModel, ExportableEncDecModel, ASRModuleMixin, InterCTCMixin, ASRTranscriptionMixin Base class for encoder decoder CTC-based models. change_vocabulary( new_vocabulary: List[str], decoding_cfg...