Alternatives and similar repositories for ComParE2017

Users that are interested in ComParE2017 are comparing it to the libraries listed below

• transfer-learning-asr / transfer-learning-asr
  Source code for 'Transfer Learning for Speech Recognition on a Budget' published at ACL 2017
  ☆46Updated 8 years ago
• danijel3 / PyHTK
  HTK features in Python
  ☆73Updated 6 years ago
• batikim09 / LIVE_SER
  Live demo for speech emotion recognition using Keras and Tensorflow models
  ☆39Updated 11 months ago
• shane-settle / neural-acoustic-word-embeddings
  ☆45Updated 6 years ago
• karolpiczak / echonet
  Convolutional neural networks for sound classification
  ☆20Updated 7 years ago
• philipperemy / very-deep-convnets-raw-waveforms
  Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
  ☆74Updated 4 years ago
• GauravWaghmare / Speaker-Identification
  A program for automatic speaker identification using deep learning techniques.
  ☆84Updated 8 years ago
• vladimir-chernykh / emotion_recognition
  CTC for emotion recognition
  ☆61Updated 8 years ago
• mravanelli / pytorch_MLP_for_ASR
  This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and dec…
  ☆38Updated 7 years ago
• swshon / multi-speakerID
  ☆30Updated 6 years ago
• philipperemy / tensorflow-ctc-speech-recognition
  Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
  ☆130Updated 4 years ago
• qiuqiangkong / ICASSP2018_audioset
  ☆27Updated 7 years ago
• AppleHolic / audioset_augmentor
  Sound augmentation using Large-scale audio dataset (Audioset)
  ☆45Updated 4 years ago
• danijel3 / ASRDemos
  Collection of machine learning demos for Automatic Speech Recognition
  ☆55Updated 3 years ago
• jfsantos / maracas
  maracas is a library for corrupting audio files with additive and convolutive noise.
  ☆72Updated 7 years ago
• AKBoles / Deep-Learning-Speech-Recognition
  Project to learn about speech recognition - both Speaker Diarization and other Speech Recognition applications.
  ☆49Updated 8 years ago
• MikeMpapa / CNNs-Speech-Music-Discrimination
  A deep learning framework for Speech-Music discrimination of continuous audio streams
  ☆68Updated 6 years ago
• drscotthawley / audio-classifier-keras-cnn
  Audio Classifier in Keras using Convolutional Neural Network
  ☆160Updated 6 years ago
• hbredin / TristouNet
  TristouNet: Triplet Loss for Speaker Turn Embedding
  ☆123Updated 8 years ago
• karolpiczak / paper-2015-esc-convnet
  Environmental Sound Classification with Convolutional Neural Networks - paper replication data
  ☆75Updated 7 years ago
• timsainb / python_spectrograms_and_inversion
  Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook
  ☆166Updated 6 years ago
• cdyangbo / end2endASR
  implement end-to-end asr algorithm with tensorflow
  ☆40Updated 6 years ago
• trexwithoutt / Speech-Emotion-Recognition-utterancelevel-DNN
  Inspired work by the project of SER using ELM at Microsoft Research
  ☆19Updated 7 years ago
• karolpiczak / paper-2017-DCASE
  The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
  ☆39Updated 7 years ago
• kefirski / pytorch_TDNN
  Time Delayed NN implemented in pytorch
  ☆81Updated 8 years ago
• IBM / audioset-classification
  Train a Deep Learning model to classify audio embeddings on IBM's Deep Learning as a Service (DLaaS) platform - Watson Machine Learning
  ☆101Updated 2 years ago
• mjpyeon / wavenet-classifier
  Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
  ☆64Updated 6 years ago
• jaron / deep-listening
  Deep Learning experiments for audio classification
  ☆149Updated 8 years ago
• jameslyons / matlab_speech_features
  A set of speech feature extraction functions for ASR and speaker identification written in matlab.
  ☆43Updated 8 years ago
• ankitshah009 / WALNet-Weak_Label_Analysis
  Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.
  ☆32Updated last year