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Hi-Fi Multi-Speaker English TTS Dataset

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arxiv 2104.01497 v3 pith:I3I6ABAB submitted 2021-04-03 eess.AS

Hi-Fi Multi-Speaker English TTS Dataset

classification eess.AS
keywords datasetleastenglishhoursmulti-speakerspeechaudioaudiobooks
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper introduces a new multi-speaker English dataset for training text-to-speech models. The dataset is based on LibriVox 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/ .

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Forward citations

Cited by 9 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

    eess.AS 2026-03 unverdicted novelty 7.0

    FLAIR enables spoken dialogue AI to conduct continuous latent reasoning while perceiving speech through recursive latent embeddings and an ELBO-based finetuning objective.

  2. The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

    eess.AS 2026-03 conditional novelty 7.0

    Causal full-duplex speech LLMs improve response quality by recursively feeding soft vocabulary embeddings as latent thoughts during listening, trained by matching a non-causal expert posterior via ELBO.

  3. Designed Vocalizations Dataset: Sound-Designed Human and Animal Voices for Non-human Voice Conversion

    eess.AS 2026-07 conditional novelty 6.0

    A new public dataset of 231,800 sound-designed vocalizations with seen/unseen preset-style and source-timbre splits, plus a baseline non-human voice-conversion evaluation.

  4. StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs

    cs.CL 2025-09 unverdicted novelty 6.0

    StableToken introduces a multi-branch architecture with bit-wise voting to create noise-robust semantic speech tokens, achieving lower Unit Edit Distance and better SpeechLLM robustness than prior single-path tokenizers.

  5. Length-Aware Rotary Position Embedding for Text-Speech Alignment

    eess.AS 2025-09 conditional novelty 6.0

    Length-aware RoPE (LARoPE), which normalizes positional indices by sequence length, induces a diagonal attention bias that improves text-speech alignment and achieves state-of-the-art WER on a zero-shot TTS benchmark.

  6. Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey

    cs.CV 2026-04 accept novelty 5.0

    MLLM-enabled video translation is usefully framed as three roles—Semantic Reasoner, Expressive Performer, and Visual Synthesizer—rather than a cascade of ASR, MT, TTS, and lip-sync.

  7. Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey

    cs.CV 2026-04 unverdicted novelty 4.0

    The paper offers the first focused review of MLLM-based video translation organized by a three-role taxonomy of Semantic Reasoner, Expressive Performer, and Visual Synthesizer, plus open challenges.

  8. The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

    eess.AS 2026-03 unverdicted novelty 4.0

    FLAIR enables simultaneous latent reasoning during speech input in full-duplex dialogue models via recursive latent embeddings and an ELBO-based training objective without added latency.

  9. A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models

    eess.AS 2026-05 unverdicted novelty 2.0

    A structured survey of audio bandwidth extension that organizes the transition from deterministic discriminative DNNs to generative approaches including GANs, diffusion models, and flow-based methods.