Popular GitHub Repositories for Cqt Spectrogram

GUI for a Vocal Remover that uses Deep Neural Networks.

Vocal Remover using Deep Neural Networks

Audio processing by using pytorch 1D convolution network

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

kapre: Keras Audio Preprocessors

Music recommender using deep learning with Keras and TensorFlow

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

End-2-end speech synthesis with recurrent neural networks

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

The BEST music separation model with help of A.I. ... to my ears ! ??

API for a Vocal Remover that uses Deep Neural Networks.

Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)

Final Year Project for Speech Separation

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.

Speech synthesis (TTS) in low-resource languages by training from scratch with Fastpitch and fine-tuning with HifiGan

一个 Python 库，用于计算两个输入之间的梅尔倒谱距离（梅尔倒谱失真，MCD）。此实现基于 Robert F. Kubichek 在“用于客观语音质量评估的梅尔倒谱距离度量”中提出的方法。