TeaPoly / CE-OptimizedLoss
Optimized loss based on cross-entropy (CE), like MWER (minimum WER) Loss with beam search and negative sampling strategy, Smoothed Max Pooling Loss.
☆20Updated 4 months ago
Alternatives and similar repositories for CE-OptimizedLoss:
Users that are interested in CE-OptimizedLoss are comparing it to the libraries listed below
- ☆31Updated 2 years ago
- ☆15Updated 7 months ago
- Speech samples and code of BEdit-TTS☆32Updated last year
- it's ASR decoder and make graph project☆32Updated 2 years ago
- Implementation of CTC alignment-based single step non-autoregressive transformer☆13Updated last year
- AutoPrep: An Automatic Preprocessing Framework for In-the-Wild Speech Data☆29Updated last year
- Python wrapper for kaldi's arpa2fst☆38Updated 2 months ago
- Production first, nn-based on-device signal processing toolkit.☆64Updated last year
- ☆13Updated last year
- ☆32Updated 3 years ago
- Code for synchronising all CHiME-5 audio signals for use in CHiME-6☆18Updated 5 years ago
- ☆43Updated last year
- Dynamic Chunk Streaming and Offline Conformer based on athena-team/Athena.☆44Updated 2 years ago
- One command to build TLG.fst for WeNet.☆29Updated 2 years ago
- it's a train acoustics model code lib☆26Updated 4 years ago
- ☆25Updated 3 months ago
- A SPMI Lab toolkit for language models.☆11Updated 7 years ago
- kaldi cnn-tdnnf baseline☆13Updated 3 years ago
- [ICASSP2023] Source code, model links and open test sets for paper SeACo-Paraformer.☆28Updated 11 months ago
- Memory efficient transducer loss computation☆68Updated 2 years ago
- TTS-frontend with Bert and CRF/lstm (For Tacotron)☆52Updated 4 years ago
- PyTorch implementation of WASE described in our ICASSP 2021: "Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Envi…☆24Updated 3 years ago
- pytorch CTC implementation for ASR. Use eesen's fst decoder framework☆10Updated 4 years ago
- ☆15Updated 2 years ago
- ☆29Updated 2 years ago
- The baseline system for the ICASSP2024 ICMC-ASR Challenge.☆47Updated last year
- ☆61Updated 2 years ago
- End-to-End Speech Processing Toolkit☆12Updated 3 weeks ago
- Computes the MWER (minimum WER) Loss with CTC beam search. Knowledge distillation for CTC loss.☆57Updated last year
- Source Code for the Paper "UNIFIED KEYWORD SPOTTING AND AUDIO TAGGING ON MOBILE DEVICES WITH TRANSFORMERS"☆23Updated last year