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11 search results found

Vocal Remover ⭐ 1,148

Vocal Remover using Deep Neural Networks

Nnaudio ⭐ 882

Audio processing by using pytorch 1D convolution network

Pytorchwavenetvocoder ⭐ 256

WaveNet-Vocoder implementation with pytorch.

Spleeterrt ⭐ 75

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

Sound Based Bird Species Detection ⭐ 62

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

Segmentationcnn ⭐ 36

Music segmentation using convolutional neural networks.

Speech Separation ⭐ 27

Final Year Project for Speech Separation

Neuralmusic ⭐ 15

An attempt at genre classification with convolutional neural networks and spectrograms

Audio Data Analysis Using Deep Learning ⭐ 14

Audio data analysis using Deep Learning.

Signal Classification Comparison ⭐ 12

Classify signal using Deep Learning on Tensorflow and various machine learning models.

Music Noise Segmentation On A Spectrogram ⭐ 11

MNSS (Music Noise Segmentation on a Spectrogram) is a deep-neural network based preprocessing technique that pre-filters unnecessary noise. MNSS is based on the convolutional neural networks and uses softmax value as a probability of noise existence.

Kaggle Speech Recognition ⭐ 11

Solution for TensorFlow Speech Recognition Challenge on Kaggle (125th place, top 10%)

Music Classification Cnn Pytorch ⭐ 10

Music genre classification using Convolutional Neural Networks on Spectrograms in PyTorch

Sound Recognition Convo2d Neural Network ⭐ 9

Tools: Python (OpenCV 3.0 + Keras lib-Convolution 2D Neural Network). Desc: Research project at Soft Computing course.

Realtimeaudioclassification ⭐ 9

Using spectrograms and convolutional neural networks to listen to environment sounds.

Speech Recognition Tensorflow Challenge ⭐ 8

Different CNN Models for keyword spotting in speech recognition

Subspectralnet ⭐ 8

SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, accepted in ICASSP 2019

Emotion Recognition ⭐ 8

Time series course Fall 2019 project

Speech_recognition ⭐ 6

Convolutional Neural Network for Speech Recognition, implemented in Ms. Pacman game

Skeleton Action Recognition ⭐ 5

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

Speaker Recognition ⭐ 5

Identifying which celebrity is speaking through deep learning

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