Pinned Repositories
Audio-and-Acoustics-Signal-Processing-Speech-Enhancement-Project
Audio and Acoustics Signal Processing: Speech Enhancement Project
audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
audio-super-res
Audio super resolution using neural networks
audio-super-resolution
audio-visual-speech-enhancement
Audio_Classification_using_LSTM
Classification of Urban Sound Audio Dataset using LSTM-based model.
audio_sr
Hierarchical RNN with Perceptual Loss for Audio Super-Resolution
Audion
Audio Super Resolution through Deep Learning
AudioSuperResolution
Generate higher quality audio from a lower one, using Convolutional neural network.
Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
myusernameisstudy's Repositories
myusernameisstudy/audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
myusernameisstudy/Audio_Classification_using_LSTM
Classification of Urban Sound Audio Dataset using LSTM-based model.
myusernameisstudy/AudioSuperResolution
Generate higher quality audio from a lower one, using Convolutional neural network.
myusernameisstudy/DNP
Audio Denoising with Deep Network Priors
myusernameisstudy/Wave-U-Net-For-Speech-Enhancement
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
myusernameisstudy/TFMusicAudioEncoder
An Autoencoder for WAV files
myusernameisstudy/mir_eval
Evaluation functions for music/audio information retrieval/signal processing algorithms.
myusernameisstudy/SpeechDenoisingDNN
Removing various types of noises present in the speech using Deep Neural Networks
myusernameisstudy/Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
myusernameisstudy/Audio-and-Acoustics-Signal-Processing-Speech-Enhancement-Project
Audio and Acoustics Signal Processing: Speech Enhancement Project
myusernameisstudy/Enhancement-Coded-Speech
myusernameisstudy/ConvolutionaNeuralNetworksToEnhanceCodedSpeech
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.
myusernameisstudy/audio-visual-speech-enhancement
myusernameisstudy/T-LSTM
Time-Aware LSTM
myusernameisstudy/multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
myusernameisstudy/audio-super-resolution
myusernameisstudy/CS230-Project
CS230 Final Project - Audio Super Resolution
myusernameisstudy/keras-unet-vocal-separation
myusernameisstudy/audio_sr
Hierarchical RNN with Perceptual Loss for Audio Super-Resolution
myusernameisstudy/Bach-audio-super-resolution
Bach:The learning based model for audio super resolution
myusernameisstudy/audio-super-res
Audio super resolution using neural networks
myusernameisstudy/LSTM_for_BSS
Blind source separation of audio signals using LSTM
myusernameisstudy/Deep-Learning-Developer-Course-Projects
myusernameisstudy/CNN-for-single-channel-speech-enhancement
Convolutional neural nets for single channel speech enhancement
myusernameisstudy/Audion
Audio Super Resolution through Deep Learning