nemocpp,Nemo,github

30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

abnormarcrowddetection

Abnormal Crowd Detection Implementation with Python

accentdetection

Probabilistic Accent Detection Using Finite State Speech Recognition

acousticeventdetection

Source code complementing our paper for acoustic event classification using convolutional neural networks.

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

alocc_keras

Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.

Package containing the tools necessary for decomposing a speech signal into its modulated components (also known as AM-FM decomposition). Includes the algorithms of the QHM family and the YAAPT pitch tracker.

anomalydetection

Anomaly Detection with R

anomalydetectionusingautoencoder

Anomaly detection using Autoencoder implemented with Keras 2.

apted

Python APTED algorithm for the Tree Edit Distance

asrt_speechrecognition

基于深度学习的语音识别系统

attention

some attention implements

aubio

a library for audio and music analysis

audio-classifier-keras-cnn

Audio Classifier in Keras using Convolutional Neural Network

audio-segmentation-by-classification-tutorial

A jupyter notebook for audio segmentation tutorial and demo

audio_quality_testing_samples

Human speech samples for audio quality measurements

audioscraper

Python script that pulls out the audio in the RTP layer of a packet capture. This particular script makes use of the PyShark library. It also assumes the pcap is being read in as a file (not live capture.)