VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers · HackerPapers discussions

VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers — mentioned by alephnerd

Tue, 17 Sep 2024 03:07:30 GMT

> Care to give some examples In the 2010s they were the leader in NLP and the precursor of LLMs like GPT3/3.5/4/4o Machine Translation with Human Parity (2018) - https://arxiv.org/abs/1803.05567 MT-DNN (2019) - https://arxiv.org/abs/1901.11504 MASS (2019) - https://arxiv.org/abs/1905.02450 VALL-E (2023) - https://arxiv.org/abs/2301.02111 VALL-E 2 (2024) - https://arxiv.org/abs/2406.05370 While OpenAI was the first to monetize an LLM at scale via ChatGPT, it's still the early stages of this field, and there is a lot of innovation that can still be leveraged, especially in non-English language…

Paper and discussion history. A mention is not an endorsement.

VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers — mentioned by htrp

Wed, 10 Jul 2024 15:28:24 GMT

https://arxiv.org/pdf/2406.05370 The model in question is Microsoft Vall-E2 without the click bait headline.

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VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers — mentioned by carapace

Wed, 10 Jul 2024 15:13:44 GMT

https://arxiv.org/abs/2406.05370 > Our experiments on the LibriSpeech and VCTK datasets show that VALL-E 2 surpasses previous systems in speech robustness, naturalness, and speaker similarity. It is the first of its kind to reach human parity on these benchmarks. Moreover, VALL-E 2 consistently synthesizes high-quality speech, even for sentences that are traditionally challenging due to their complexity or repetitive phrases https://www.microsoft.com/en-us/research/project/vall-e-x/va... > This page is for research demonstration purposes only. Currently, we have no plans to incorporate VALL-E…

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