YUCHEN005 / RATS-Channel-A-Speech-DataLinks
This is a public repository for RATS Channel-A Speech Data, which is a chargeable noisy speech dataset under LDC. Here we release its Log-Mel Fbank features and several raw wavform listening samples.
☆16Updated 3 years ago
Alternatives and similar repositories for RATS-Channel-A-Speech-Data
Users that are interested in RATS-Channel-A-Speech-Data are comparing it to the libraries listed below
Sorting:
- Code for paper "Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition"☆43Updated 2 years ago
- Code for paper "Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation"☆44Updated last year
- ☆15Updated 3 years ago
- Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment☆12Updated 11 months ago
- [SLT'24] Mamba-based Decoder-Only Approach for Speech Recognition☆18Updated last year
- ☆16Updated 2 years ago
- unofficial implementation of "CPTNN: CROSS-PARALLEL TRANSFORMER NEURAL NETWORK FOR TIME-DOMAIN SPEECH ENHANCEMENT"☆15Updated 2 years ago
- A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Mult…☆39Updated last year
- ☆32Updated 2 years ago
- An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification☆24Updated last year
- ☆16Updated last year
- ☆24Updated 2 years ago
- Official Implementation of LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models.☆32Updated 2 months ago
- This repository is the official implementation of unimodal aggregation (UMA) for automaticspeech recognition (ASR).☆35Updated last year
- Code for paper "Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition"☆20Updated 2 years ago
- Data simulation scripts for paper "Target Sound Extraction with Variable Cross-modality Clues"☆16Updated 2 years ago
- ☆61Updated 2 years ago
- FNSE-SBGAN: Far-field Speech Enhancement with Schrödinger Bridge and Generative Adversarial Networks☆16Updated 8 months ago
- A toolkit for researchers in the multimodal sound separation.☆16Updated 2 years ago
- ☆31Updated last month
- This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Fea…☆11Updated 3 years ago
- The Official PyTorch Implementation of "Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement" [Interspeech 2025]☆21Updated 7 months ago
- Official data preparation and metric evaluation scripts for the Interspeech 2025 URGENT challenge.☆79Updated 8 months ago
- Official Implementation of TSELM: Target speaker extraction using discrete tokens and language models☆55Updated 9 months ago
- ☆12Updated last year
- Generation scripts for EARS-WHAM and EARS-Reverb☆41Updated 6 months ago
- ☆10Updated 3 years ago
- ☆13Updated 3 months ago
- ☆17Updated 2 years ago
- A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification☆34Updated 4 years ago