33 citations · 49 across the 13 of their papers we have counts for
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eess.AS2024★ 2 cited
Low Bitrate High-Quality RVQGAN-based Discrete Speech Tokenizer
Slava Shechtman, Avihu Dekel
Discrete Audio codecs (or audio tokenizers) have recently regained interest due to the ability of Large Language Models (LLMs) to learn their compressed acoustic representations. V…
eess.AS2024
Speech Synthesis From Continuous Features Using Per-Token Latent Diffusion
Arnon Turetzky, Avihu Dekel, Nimrod Shabtay +5
We present SALAD, a zero-shot TTS autoregressive model operating over continuous speech representations. SALAD utilizes a per-token diffusion process to refine and predict continuo…
cs.SD2024
Exploring the Benefits of Tokenization of Discrete Acoustic Units
Avihu Dekel, Raul Fernandez
Tokenization algorithms that merge the units of a base vocabulary into larger, variable-rate units have become standard in natural language processing tasks. This idea, however, ha…