425 citations · 1.2k across the 64 of their papers we have counts for
9 papers · 1 filter
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
We present a textless speech-to-speech translation (S2ST) system that can translate speech from one language into another language and can be built without the need of any text dat…
Textless Speech Emotion Conversion using Discrete and Decomposed Representations
Felix Kreuk, Adam Polyak, Jade Copet +7
Speech emotion conversion is the task of modifying the perceived emotion of a speech utterance while preserving the lexical content and speaker identity. In this study, we cast the…
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
Changhan Wang, Wei-Ning Hsu, Yossi Adi +5
This paper presents fairseq S^2, a fairseq extension for speech synthesis. We implement a number of autoregressive (AR) and non-AR text-to-speech models, and their multi-speaker va…
Text-Free Prosody-Aware Generative Spoken Language Modeling
Eugene Kharitonov, Ann Lee, Adam Polyak +8
Speech pre-training has primarily demonstrated efficacy on classification tasks, while its capability of generating novel speech, similar to how GPT-2 can generate coherent paragra…
Direct speech-to-speech translation with discrete units
Ann Lee, Peng-Jen Chen, Changhan Wang +9
We present a direct speech-to-speech translation (S2ST) model that translates speech from one language to speech in another language without relying on intermediate text generation…
Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez, Yossi Adi, Gabriel Synnaeve
We propose DiffQ a differentiable method for model compression for quantizing model parameters without gradient approximations (e.g., Straight Through Estimator). We suggest adding…
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
Adam Polyak, Yossi Adi, Jade Copet +5
We propose using self-supervised discrete representations for the task of speech resynthesis. To generate disentangled representation, we separately extract low-bitrate representat…
Generative Spoken Language Modeling from Raw Audio
Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu +8
We introduce Generative Spoken Language Modeling, the task of learning the acoustic and linguistic characteristics of a language from raw audio (no text, no labels), and a set of m…
High Fidelity Speech Regeneration with Application to Speech Enhancement
Adam Polyak, Lior Wolf, Yossi Adi +2
Speech enhancement has seen great improvement in recent years mainly through contributions in denoising, speaker separation, and dereverberation methods that mostly deal with envir…