freds0 / data_augmentation_for_asr
A set of audio augmentation techniques to perform noise insertion in datasets used for Automatic Speech Recognition.
☆40Updated 3 years ago
Alternatives and similar repositories for data_augmentation_for_asr:
Users that are interested in data_augmentation_for_asr are comparing it to the libraries listed below
- Clustering-based methods for overlapping diarization☆78Updated last year
- NOTSOFAR-1 Challenge: Distant Diarization and ASR☆51Updated last month
- End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM☆39Updated 2 years ago
- multilingual speech aligner☆72Updated last year
- A list of papers for child ASR☆38Updated 5 months ago
- Speaker change detection using SincNet and an LSTM/Transformer☆48Updated 9 months ago
- ☆24Updated 5 months ago
- Apply Score diffusion to improve speech signals recorded under various adverse conditions and distortions, including noise, reverberation…☆58Updated 8 months ago
- ☆64Updated last year
- Went online decode demo☆29Updated 3 years ago
- [IJCAI'23] Learning to Speak from Text for Low-Resource TTS☆63Updated last year
- ☆14Updated 2 years ago
- Objective metrics used in several text-to-speech (TTS) papers.☆48Updated 2 years ago
- Official repository for Mamba-based Segmentation Model for Speaker Diarization☆34Updated 5 months ago
- Some fast-ish algorithms for batch text search in moderate-sized collections, intended for data cleanup☆68Updated 7 months ago
- A simple package for Guided source separation (GSS)☆118Updated 10 months ago
- Streaming Audiotransformers for online Audio tagging☆43Updated 9 months ago
- A toolkit to calculate speech audio quality. Not affiliated with the original authors☆50Updated 7 months ago
- Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding☆75Updated 3 years ago
- ☆26Updated last month
- This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsuperv…☆134Updated 3 months ago
- ☆35Updated 2 weeks ago
- ☆25Updated 7 months ago
- Production first, nn-based on-device signal processing toolkit.☆64Updated last year
- Online streaming speaker change detection model in Pytorch☆38Updated last year
- Pypi installable TDNN and TDNN-F layers for PyTorch based acoustic model training☆39Updated 4 years ago
- A pytorch implementation of MBNET: MOS PREDICTION FOR SYNTHESIZED SPEECH WITH MEAN-BIAS NETWORK☆60Updated 3 years ago
- pytorch implementation for MultiSpeech: Multi-Speaker Text to Speech with Transformer paper☆22Updated 2 years ago
- Predicts the level of noise and reverberation on your audiofiles☆148Updated 10 months ago
- Official implementation of the paper: "LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech"☆63Updated 3 years ago