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-task3-important-stsp_iiui-spring2016

Assignments for Special Topics in Signal Processing Course @ International Islamic University Islamabad, Spring 2016

aca-slides

Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201 - Computational Music Analysis. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012

adaptive-multispeaker-separation

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

adaptive_front_ends

Code for the paper "Adaptive Front Ends for end-to-end source separation"

adaptive_front_ends-1

Adaptive front ends

asr-evaluation

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

asteroid

The PyTorch-based audio source separation toolkit for researchers || Current highlight : we got our WHAMR results check it out here !

audio-classification-using-cnn-mlp

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

audio_classification_using_lstm

Classification of Urban Sound Audio Dataset using LSTM-based model.

audio_gender_prediction

Predicts the gender of a speaker given input .wav file

audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

binaural-source-localization-cnn

cnn-for-single-channel-speech-enhancement

Convolutional neural nets for single channel speech enhancement

cocktail-party-visually-derived-speech-

Visually-derived Speech

conv-tas-net

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"

conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

cs231n

CS231n assignment & Notes & Slides

danet

Deep Attractor Network (DANet) for single-channel speech separation

danet-tensorflow

Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"

ddae

DDAE speech enhancement on spectrogram domain using Keras

deep-attractor-network-tflearn

Attempt at implementing the Deep Attractor Network in TFLearn for single-source, multiple speaker speech separation.

deep-clustering

deep clustering method for single-channel speech separation

deep-clustering-1

A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation

deep-clustering-2

deep-underdetermined-bss

deepconvsep

Deep Convolutional Neural Networks for Musical Source Separation

deepseparation

Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation

dnn-speechenhancement

dnn_localization_and_separation

Speech Localization and Separation using DNNs

documentation

Documentation of the Two!Ears Auditory Model