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Ammar Abbas

12 papers hereh-index 7256 citations13 works total

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

author position
  • first author3
  • middle author8

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • eess.AS10
  • cs.LG1
  • cs.PF1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

23 citations · 23 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.AS2020

Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech

Sri Karlapati, Ammar Abbas, Zack Hodari +4

In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with contextually appropriate prosody. In Stage I, we learn…

eess.AS2020

CAMP: a Two-Stage Approach to Modelling Prosody in Context

Zack Hodari, Alexis Moinet, Sri Karlapati +6

Prosody is an integral part of communication, but remains an open problem in state-of-the-art speech synthesis. There are two major issues faced when modelling prosody: (1) prosody…

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