6gsn / marineLinks
☆34Updated 2 years ago
Alternatives and similar repositories for marine
Users that are interested in marine are comparing it to the libraries listed below
Sorting:
- tdmelodic for open-jtalk☆22Updated 3 years ago
- 日本語音声に対して音素ラベルをアラインメントするためのツールです☆27Updated 2 weeks ago
- context labels and pronunciation data for JSUT corpus☆70Updated 3 years ago
- 44100Hz日本語HuBERTに対応した QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion です。☆14Updated 2 years ago
- HTS-style full-context labels for JSUT v1.1☆47Updated 4 years ago
- pyopenjtalk-plus: A Python wrapper for OpenJTalk with additional improvements☆41Updated 3 weeks ago
- A Japanese accent dictionary generator☆117Updated last year
- xvector model on jtubespeech☆45Updated last year
- A repository of Japanese Phoneme-Level BERT☆22Updated last year
- 青空文庫振り仮名注釈付き音声コーパスのデータセット☆37Updated 2 months ago
- Speech Segmentation Toolkit using Julius☆18Updated 3 years ago
- JVS (Japanese versatile speech) コーパスの自作のラベル☆31Updated 4 years ago
- DDPM-based Pitch Generation and Pitch Controllable Voice Synthesis.☆53Updated last year
- ☆48Updated 4 months ago
- Coco-Nut (Corpus of connecting NIHONGO utterance and text) corpus☆22Updated 11 months ago
- 44100Hz日本語音源に対応した PITS: Variational Pitch Inference for End-to-end Pitch-controllable TTS without External Pitch Predictor です。☆19Updated 2 years ago
- A fork of open_jtalk☆58Updated 2 months ago
- 44100Hz日本語音源に対応させた unofficial vits2-TTS implementation in pytorchです。☆22Updated last year
- モーラバランス型日本語コーパス☆60Updated 2 years ago
- ☆47Updated 10 months ago
- Juliusを使ったセグメンテーション支援ツール☆13Updated 5 years ago
- ☆10Updated 3 years ago
- VITS2 using Phoneme-Level Japanese BERT☆13Updated last year
- ☆12Updated 3 years ago
- ☆87Updated 4 years ago
- 44100Hz日本語音源に対応した MB-iSTFT-VITS: Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Tim…☆36Updated 2 years ago
- ☆20Updated 4 years ago
- ディジタル信号処理(慶應義塾大学)☆21Updated last week
- An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"☆28Updated last year
- ☆32Updated 2 years ago