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Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement
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In: Trends Hear (2022)
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NUVA: A Naming Utterance Verifier for Aphasia Treatment
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In: Comput Speech Lang (2021)
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How is individuality expressed in voice? An introduction to speech production & description for speaker classification ...
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Learning to control an articulatory synthesizer by imitating real speech ...
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Abstract:
The goal of our current project is to build a system that can learn to imitate a version of a spoken utterance using an articulatory speech synthesiser. The approach is informed and inspired by knowledge of early infant speech development. Thus we expect our system to reproduce and exploit the utility of infant behaviours such as listening, vocal play, babbling and word imitation. We expect our system to develop a relationship between the sound-making capabilities of its vocal tract and the phonetic/phonological structure of imitated utterances. At the heart of our approach is the learning of an inverse model that relates acoustic and motor representations of speech. The acoustic to auditory mappings uses an auditory filter bank and a self-organizing phase of learning. The inverse model from auditory to vocal tract control parameters is estimated using a babbling phase, in which the vocal tract is essentially driven in a random manner, much like the babbling phase of speech acquisition in infants. The ... : ZAS Papers in Linguistics, Bd. 40 (2005): Speech production and perception: experimental analyses and models ...
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URL: https://dx.doi.org/10.21248/zaspil.40.2005.258
https://zaspil.leibniz-zas.de/article/view/258
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