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:star: 本科毕业设计:基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码,使用Django构建了前后端。
Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
TTS models for Arabic (Tacotron2, FastPitch)
Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
Cross-compilation of PyTorch armv7l (32bit) for RaspberryPi OS
Sound classification on Urban Sound Dataset
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.
(😞 😨 😄 😮 😍 😠 😐 🤮) This is a simple DL API that classifies human emotions from audios and text.
🤖 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
this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.
Signal Processing with Python and Librosa
Utilities for preprocessing the Switchboard and WSJ corpora in Python3
Experiments in neural networks for audio generation.
TorchAudio: Building Blocks for Audio and Speech Processing
Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
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.
🩺♥ Heart Beat Sound Classification (HBSC) is a GraphQL API for classifying heart beats sounds in real time.
🎶🎼 This repository contains some notebooks that were used to train Audio Classification models in pytorch using torchaudio.
Building a speaker identification & verification pipeline for Vietnamese voices :sleepy:
Open Translator: Speech To Speech and Speech to text Translator with voice cloning and other cool features
Repo for all of my ML and DL Audio Processing
CNN-LSTM model for audio emotion detection in children with adverse childhood events.
Generating unique one-shot audio samples with Stable Diffusion.
Automatic Speech Recognition using torchaudio
cnn-based model for audio trained on cpu using pytorch
Convolutional Neural Net trained on over two hours of audio data, capable of differentiating between guitarists playing solos.
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
voXify is a Streamlit-powered speech-to-text web application, enabling to generate transcripts from various audio sources and download in PDF or Word format.
I have recently gained knowledge on how to utilize PyTorch, an open-source machine learning framework that is known for its simplicity, performance, and APIs.