mlsanityData to 14 Oct 2026

A unified front-end framework for English text-to-speech synthesis

arXiv 2305.10666 ↗First posted 18 May 2023cs.CL cs.AI cs.SDcited by 4

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Abstract (arXiv)

The front-end is a critical component of English text-to-speech (TTS) systems, responsible for extracting linguistic features that are essential for a text-to-speech model to synthesize speech, such as prosodies and phonemes. The English TTS front-end typically consists of a text normalization (TN) module, a prosody word prosody phrase (PWPP) module, and a grapheme-to-phoneme (G2P) module. However, current research on the English TTS front-end focuses solely on individual modules, neglecting the interdependence between them and resulting in sub-optimal performance for each module. Therefore, this paper proposes a unified front-end framework that captures the dependencies among the English TTS front-end modules. Extensive experiments have demonstrated that the proposed method achieves state-of-the-art (SOTA) performance in all modules.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 15 of its 28 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

15 of 28 references.

References · 15

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  11. 2019A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesiscited by 8
  12. 2022r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporationcited by 7
3 more
  1. 2021Masked Conditional Random Fields for Sequence Labelingcited by 6
  2. 2019A hybrid text normalization system using multi-head self-attention for mandarincited by 5
  3. 2022Transformer-based Models of Text Normalization for Speech Applicationscited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.

  1. 2024Multi-Task Learning for Front-End Text Processing in TTScited by 1
  2. 2024Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learningcited by 1
  3. 2025Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotationcited by 1
  4. 2026Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptationcited by 0