alibugra / audio-data-augmentationLinks
Audio data augmentation examples
☆34Updated 7 years ago
Alternatives and similar repositories for audio-data-augmentation
Users that are interested in audio-data-augmentation are comparing it to the libraries listed below
Sorting:
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated 2 years ago
- Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"☆99Updated 6 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆45Updated 2 years ago
- Benchmark for sound event localization task of DCASE 2019 challenge☆78Updated 5 years ago
- ☆26Updated 8 years ago
- 1st place solution to the DCASE 2019 - Task 5 - Urban Sound Tagging☆30Updated 4 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆94Updated 5 years ago
- DCASE 2018 Baseline systems☆130Updated 6 years ago
- Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)☆74Updated 4 years ago
- Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"☆103Updated 6 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆96Updated 5 years ago
- ☆59Updated 7 years ago
- Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…☆221Updated 2 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 6 years ago
- DCASE 2017 Baseline system☆82Updated 5 years ago
- Surrey CVSSP DCASE 2018 Task 2 system☆20Updated 2 years ago
- ☆15Updated 5 years ago
- This repository contains the code and supplementary result for the paper "Unpaired Speech Enhancement by Acoustic and Adversarial Supervi…☆28Updated 6 years ago
- Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments☆111Updated last year
- ☆47Updated last year
- WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models wi…☆92Updated 4 years ago
- DCASE2020 Challenge Task 1 baseline system☆25Updated 5 years ago
- Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.☆36Updated 6 years ago
- Cochlear.ai submission for dcase2018 task2☆15Updated 7 years ago
- Train a Deep Learning model to classify audio embeddings on IBM's Deep Learning as a Service (DLaaS) platform - Watson Machine Learning☆102Updated 2 months ago
- ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples☆42Updated 6 months ago
- Baseline of dcase 2019 task 4☆60Updated 3 years ago
- A collection of utilities for Detection and Classification of Acoustic Scenes and Events☆134Updated 8 months ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆61Updated 5 years ago
- ☆46Updated 6 years ago