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20192024
most citedBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

23 citations · 26 across the 9 of their papers we have counts for

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cs.LG2024★ 23 cited

BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Mateusz Łajszczak, Guillermo Cámbara, Yang Li +16

We introduce a text-to-speech (TTS) model called BASE TTS, which stands for ig daptive treamable TTS with mergent abilities. BASE TT…

eess.AS2024★ 1 cited

Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations

Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Iván Vallés-Pérez +6

Large Language Models (LLMs) are one of the most promising technologies for the next era of speech generation systems, due to their scalability and in-context learning capabilities…