5 papers
Zero-shot Cross-lingual Voice Transfer for TTS
Fadi Biadsy, Youzheng Chen, Isaac Elias +4
In this paper, we introduce a zero-shot Voice Transfer (VT) module that can be seamlessly integrated into a multi-lingual Text-to-speech (TTS) system to transfer an individual's vo…
Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting
Hyun Jin Park, Dhruuv Agarwal, Neng Chen +10
The keyword spotting (KWS) problem requires large amounts of real speech training data to achieve high accuracy across diverse populations. Utilizing large amounts of text-to-speec…
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model
Hyun Jin Park, Dhruuv Agarwal, Neng Chen +10
This paper explores the use of TTS synthesized training data for KWS (keyword spotting) task while minimizing development cost and time. Keyword spotting models require a huge amou…
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data
Takaaki Saeki, Gary Wang, Nobuyuki Morioka +8
Collecting high-quality studio recordings of audio is challenging, which limits the language coverage of text-to-speech (TTS) systems. This paper proposes a framework for scaling a…
ASTRA: Aligning Speech and Text Representations for Asr without Sampling
Neeraj Gaur, Rohan Agrawal, Gary Wang +3
This paper introduces ASTRA, a novel method for improving Automatic Speech Recognition (ASR) through text injection.Unlike prevailing techniques, ASTRA eliminates the need for samp…