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NVIDIA / DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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https://github.com/NVIDIA/DeepLearningExamples/issues/1369 Updated De… #1370

Open xvdp opened 8 months ago

xvdp commented 8 months ago

updated so all projects can use latest librosa. https://github.com/NVIDIA/DeepLearningExamples/issues/1369

modified:   CUDA-Optimized/FastSpeech/fastspeech/dataset/ljspeech_dataset.py
modified:   CUDA-Optimized/FastSpeech/generate.py
modified:   CUDA-Optimized/FastSpeech/tacotron2/audio_processing.py
modified:   CUDA-Optimized/FastSpeech/tacotron2/layers.py
modified:   Kaldi/SpeechRecognition/notebooks/Kaldi_TRTIS_inference_offline_demo.ipynb
modified:   Kaldi/SpeechRecognition/notebooks/Kaldi_TRTIS_inference_online_demo.ipynb
modified:   PyTorch/SpeechRecognition/Jasper/requirements.txt
modified:   PyTorch/SpeechRecognition/QuartzNet/requirements.txt
modified:   PyTorch/SpeechRecognition/wav2vec2/requirements.txt
modified:   PyTorch/SpeechSynthesis/FastPitch/hifigan/data_function.py
modified:   PyTorch/SpeechSynthesis/FastPitch/requirements.txt
modified:   PyTorch/SpeechSynthesis/HiFiGAN/requirements.txt
modified:   PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo/utils/jasper/speech_utils.py
modified:   PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/requirements.txt