Hi-Fi Multi-Speaker English TTS Dataset
Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg, Yang Zhang
Abstract
This paper introduces a new multi-speaker English dataset for training text-to-speech models.The dataset is based on Lib-riVox audiobooks and Project Gutenberg texts, both in the public domain.The new dataset contains about 292 hours of speech from 10 speakers with at least 17 hours per speaker sampled at 44.1 kHz.To select speech samples with high quality, we considered audio recordings with a signal bandwidth of at least 13 kHz and a signal-to-noise ratio (SNR) of at least 32 dB.The dataset is publicly released at "http://www.openslr.org/109/".
Topics & Concepts
Computer scienceSpeech recognitionNatural language processingArtificial intelligenceSpeech Recognition and SynthesisSpeech and Audio ProcessingMusic and Audio Processing