A PyTorch-based Speech Toolkit
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Data manipulation and transformation for audio signal processing, powered by PyTorch
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.
A pure Python implementation of Google's ViSQOL (Virtual Speech Quality Objective Listener) for objective audio/speech quality assessment.