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Analysis and Synthesis of Hypo and Hyperarticulated Speech

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arxiv 2006.04136 v1 pith:35XCHYTW submitted 2020-06-07 eess.AS cs.CL

Analysis and Synthesis of Hypo and Hyperarticulated Speech

classification eess.AS cs.CL
keywords speechhyperarticulatedhyposynthesisneutralanalysisarticulationdegrees
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper focuses on the analysis and synthesis of hypo and hyperarticulated speech in the framework of HMM-based speech synthesis. First of all, a new French database matching our needs was created, which contains three identical sets, pronounced with three different degrees of articulation: neutral, hypo and hyperarticulated speech. On that basis, acoustic and phonetic analyses were performed. It is shown that the degrees of articulation significantly influence, on one hand, both vocal tract and glottal characteristics, and on the other hand, speech rate, phone durations, phone variations and the presence of glottal stops. Finally, neutral, hypo and hyperarticulated speech are synthesized using HMM-based speech synthesis and both objective and subjective tests aiming at assessing the generated speech quality are performed. These tests show that synthesized hypoarticulated speech seems to be less naturally rendered than neutral and hyperarticulated speech.

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  1. Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS

    cs.SD 2026-06 unverdicted novelty 5.0

    A flow-matching TTS model with pseudo-label training enables continuous disentangled control of vocal effort, articulation, and word-level emphasis to replicate Lombard effect intelligibility gains in noise.