hcy71o / SNAC
Unofficial Pytorch implementation of SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech
☆57Updated last year
Alternatives and similar repositories for SNAC:
Users that are interested in SNAC are comparing it to the libraries listed below
- Implementation of DCComix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer☆75Updated last year
- E2E TTS using Conditional Flow Matching (Experimental*)☆69Updated last year
- ☆33Updated last year
- Conditional Variational Auto-Encoder with Jointly Training FastSpeech2(+Conformer) and HiFi-GAN for End to End Text to Speech☆46Updated 2 years ago
- ☆39Updated last year
- Pytorch implementation of LearnableUpsamplingLayer (NaturalSpeech, Tan et al., 2022)☆54Updated last year
- SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems☆39Updated last year
- ☆67Updated last year
- ☆44Updated last year
- [WIP] Unofficial Implementation of Microsoft's PromptTTS2☆51Updated last year
- Singing Voice Speech modeling test☆35Updated 2 years ago
- Unofficial pytorch reproduction for the paper "Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction" (…☆61Updated 11 months ago
- BigVGAN with Neural Source-Filter☆51Updated last year
- TTS Text Analyzer☆32Updated last year
- ☆63Updated last year
- All generative model in one for better TTS model☆66Updated 6 months ago
- This repository contains prompts & best practices to annotate audio clips with a very high degree of details using Audio-Language-Models☆32Updated 5 months ago
- [InterSpeech 24] FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter☆85Updated 8 months ago
- The Official Implementation of “Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synth…☆84Updated 2 years ago
- PitchVC: Pitch Conditioned Any-to-Many Voice Conversion☆34Updated 9 months ago
- ☆71Updated last year
- A pitch detection model trained to be robust against noise and reverberation environments.☆25Updated 2 months ago
- ☆30Updated 2 years ago
- ☆28Updated last year
- (R&D) Text to speech using phonemes as inputs and audio codec codes as outputs. Loosely based on MegaByte, VALL-E and Encodec.☆47Updated last year
- ☆64Updated last year
- [IJCAI'23] Learning to Speak from Text for Low-Resource TTS☆63Updated last year
- X-E-Speech: Joint Training Framework of Non-Autoregressive Cross-lingual Emotional Text-to-Speech and Voice Conversion☆85Updated 11 months ago
- ☆65Updated last year
- Official implementation of "Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis",…☆79Updated last year