freds0 / CML-TTS-DatasetLinks
CML-TTS: A Multilingual Dataset for Speech Synthesis
☆33Updated last year
Alternatives and similar repositories for CML-TTS-Dataset
Users that are interested in CML-TTS-Dataset are comparing it to the libraries listed below
Sorting:
- Just another FastSpeech 2 but cleaner code :)☆27Updated last year
- ☆26Updated 2 years ago
- ☆41Updated 11 months ago
- (R&D) Text to speech using phonemes as inputs and audio codec codes as outputs. Loosely based on MegaByte, VALL-E and Encodec.☆48Updated last year
- An unofficial PyTorch implementation of Mix-Phoneme-Bert☆40Updated 2 years ago
- Official implementation of "Unsupervised Pre-training for Data-Efficient Text-to-Speech on Low Resource Languages", ICASSP 2023☆27Updated 2 years ago
- ☆45Updated 2 years ago
- Adaptive Vocoder for Custom Voice☆60Updated 2 years ago
- Automatic speech annotator processing speech with voice activaty detection, overlapping speech detection, speaker diarization and automat…☆33Updated last year
- Official implementation of the paper "Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale In-the-wild Laughter Corpus" acc…☆76Updated 2 years ago
- Official implementation of "Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis",…☆80Updated 2 years ago
- [IJCAI'23] Learning to Speak from Text for Low-Resource TTS☆63Updated 2 years ago
- ☆25Updated last year
- Sequence alignement methods with helpers for PyTorch.☆24Updated 2 years ago
- Implementation of DCComix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer☆75Updated 2 years ago
- ☆33Updated 2 years ago
- E2E TTS using Conditional Flow Matching (Experimental*)☆71Updated last year
- Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge☆21Updated 3 years ago
- ☆24Updated last year
- LIGHTVOC AN UPSAMPLING-FREE GAN VOCODER BASED ON CONFORMER AND INVERSE SHORT-TIME FOURIER TRANSFORM☆18Updated last year
- Pytorch implementation of LearnableUpsamplingLayer (NaturalSpeech, Tan et al., 2022)☆55Updated last year
- This repository contains prompts & best practices to annotate audio clips with a very high degree of details using Audio-Language-Models☆35Updated 10 months ago
- ☆41Updated 2 years ago
- ☆19Updated last year
- Objective metrics used in several text-to-speech (TTS) papers.☆50Updated 2 months ago
- Collection of scripts from mHuBERT-147.☆29Updated 9 months ago
- ☆25Updated 2 years ago
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale☆27Updated 2 years ago
- NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment☆16Updated 3 years ago
- Unofficial Pytorch implementation of SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speake…☆57Updated 2 years ago