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Harm Lameris

6 papers hereh-index 6163 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.AS5
  • cs.SD1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedProsody-controllable spontaneous TTS with neural HMMs

15 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

eess.AS2024

Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech

Shivam Mehta, Harm Lameris, Rajiv Punmiya +3

Converting input symbols to output audio in TTS requires modelling the durations of speech sounds. Leading non-autoregressive (NAR) TTS models treat duration modelling as a regress…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.