A generative speech model for daily dialogue.
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Updated
Jul 16, 2024 - Python
A generative speech model for daily dialogue.
Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
A utility for wrapping the Free Spoken Digit Dataset into PyTorch-ready data set splits.
High fidelity music synthesis using diffusion and UnivNet.
Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.
🤖 Telegram bot powered by Deep Learning. Automatically assesses the safety of audios and voice messages for people suffering from misophonia.
Speech to Text with Wav2Vec2 using torchaudio
TTS (FastPitch) for German
Utilities for preprocessing the Switchboard and WSJ corpora in Python3
Experiments in neural networks for audio generation.
🩺♥ Heart Beat Sound Classification (HBSC) is a GraphQL API for classifying heart beats sounds in real time.
Streamlit-based demo of our project on Deep Learning for music genre classification as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
Open Translator: Speech To Speech and Speech to text Translator with voice cloning and other cool features
Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
Convolutional Neural Net trained on over two hours of audio data, capable of differentiating between guitarists playing solos.
Generating unique one-shot audio samples with Stable Diffusion.
Automatic Speech Recognition using torchaudio
cnn-based model for audio trained on cpu using pytorch
The road sign recognition system of the Russian Federation, which uses an already prepared model for object detection and image segmentation in real time to improve road safety
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