# VocalSeparation

**Repository Path**: albertyg/VocalSeparation

## Basic Information

- **Project Name**: VocalSeparation
- **Description**: Using Deep Learning for singing voice separation - Project for the course DT2119 Speech and Speaker Recognition offered by KTH in 2018
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-12
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MusicToLyrics
The project in inspired by [1].

Execution instructions:
1. Download MIR-1K dataset from https://sites.google.com/site/unvoicedsoundseparation/mir-1k
2. Execute create_dataset.py to split and preprocess data
3. Execute train.py to train the network
4. Execute eval.py to evaluate the network

[1] P.-S. Huang, M. Kim, M. Hasegawa-Johnson, and P. Smaragdis, “Singing-voice separation from monaural recordings using deep recurrent neural networks.,” in ISMIR, 2014, pp. 477–482.