The evolutionary history of the human speech organs

By J. Wind. 1989

How researchers see this paper

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A Survey on Neural Speech Synthesis (2021, background): “Since human languages share similar vocal organs, pronunciations [383] and semantic structures [335], pre-training the TTS models on rich-resource languages can help the mapping between text and speech in low-resource languages [42, 390, 12, 60, 98, 336, 435, 241, 428].”
UWSpeech: Speech to Speech Translation for Unwritten Languages (2020, background): “As human beings share similar vocal organs and pronunciations [45], no matter which spoken languages they use, the phonetic representations learned in one language can more or less (depending on the language similarity) help the learning of phonetic representations in another language [17, 46].”
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition (2020, background): “…on rich-resource languages are already available in the commercialized speech service, and 2) the alignment capability between speech and text in rich-resource languages can benefit the alignment learning in low-resource languages, due to the pronunciation similarity between human languages [42].”