Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech

Author:

Saeki Takaaki1,Zen Heiga1,Chen Zhehuai2,Morioka Nobuyuki1,Wang Gary2,Zhang Yu2,Bapna Ankur2,Rosenberg Andrew2,Ramabhadran Bhuvana2

Affiliation:

1. Google,Japan

2. Google,USA

Publisher

IEEE

Reference40 articles.

1. SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

2. Common Voice: A massively-multilingual speech corpus;ardila,2019

3. A3T: Alignment-aware acoustic and text pretraining for speech synthesis and editing;bai;Proc ICML,2022

4. Maestro-U: leveraging joint speech–text representation learning for zero supervised speech ASR;chen,2022

5. Improving Speech Recognition Using Consistent Predictions on Synthesized Speech

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1. Text-Inductive Graphone-Based Language Adaptation for Low-Resource Speech Synthesis;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Few-Shot Spoken Language Understanding Via Joint Speech-Text Models;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Joint Speech-Text Embeddings with Disentangled Speaker Features;2023 34th Irish Signals and Systems Conference (ISSC);2023-06-13

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