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Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS'23) challenge is organized as part of the ICASSP 2023 Signal Processing Grand Challenge. LIMMITS'23 aims at the development of a lightweight, multi-speaker, multi-lingual Text to Speech (TTS) model using datase...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Abhayjeet Singh, Amala Nagireddi, Anjali Jayakumar, Deekshitha G, Jesuraja Bandekar, Roopa R, Sandhya Badiger, Sathvik Udupa, Saurabh Kumar, Prasanta Kumar Ghosh, Hema A Murthy, Heiga Zen, Pranaw Kumar, Kamal Kant, Amol Bole, Bira Chandra Singh, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Open Journal of Signal Processing
Schlagworte:
End-to-end model
data-constrained multi-speaker
model compression
multi-lingual TTS
speech synthesis
text-to-speech (TTS)
Online-Zugang:https://ieeexplore.ieee.org/document/10479171/
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