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20242026
most citedMaking Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

1 citations · 2 across the 15 of their papers we have counts for

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cs.CL2024

Isochrony-Controlled Speech-to-Text Translation: A study on translating from Sino-Tibetan to Indo-European Languages

Midia Yousefi, Yao Qian, Junkun Chen +5

End-to-end speech translation (ST), which translates source language speech directly into target language text, has garnered significant attention in recent years. Many ST applicat…

cs.SD2024

Investigating Neural Audio Codecs for Speech Language Model-Based Speech Generation

Jiaqi Li, Dongmei Wang, Xiaofei Wang +13

Neural audio codec tokens serve as the fundamental building blocks for speech language model (SLM)-based speech generation. However, there is no systematic understanding on how the…

eess.AS2024

Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech

Haibin Wu, Xiaofei Wang, Sefik Emre Eskimez +8

People change their tones of voice, often accompanied by nonverbal vocalizations (NVs) such as laughter and cries, to convey rich emotions. However, most text-to-speech (TTS) syste…

eess.AS2024

An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS

Xiaofei Wang, Sefik Emre Eskimez, Manthan Thakker +8

Recently, zero-shot text-to-speech (TTS) systems, capable of synthesizing any speaker's voice from a short audio prompt, have made rapid advancements. However, the quality of the g…

eess.AS2024

Total-Duration-Aware Duration Modeling for Text-to-Speech Systems

Sefik Emre Eskimez, Xiaofei Wang, Manthan Thakker +9

Accurate control of the total duration of generated speech by adjusting the speech rate is crucial for various text-to-speech (TTS) applications. However, the impact of adjusting t…

eess.AS2024

E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS

Sefik Emre Eskimez, Xiaofei Wang, Manthan Thakker +10

This paper introduces Embarrassingly Easy Text-to-Speech (E2 TTS), a fully non-autoregressive zero-shot text-to-speech system that offers human-level naturalness and state-of-the-a…

cs.CL2024★ 1 cited

TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation

Chenyang Le, Yao Qian, Dongmei Wang +8

There is a rising interest and trend in research towards directly translating speech from one language to another, known as end-to-end speech-to-speech translation. However, most e…

eess.AS2024

CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations

Leying Zhang, Yao Qian, Long Zhou +9

Recent advancements in zero-shot text-to-speech (TTS) modeling have led to significant strides in generating high-fidelity and diverse speech. However, dialogue generation, along w…

eess.AS2024★ 1 cited

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

Naoyuki Kanda, Xiaofei Wang, Sefik Emre Eskimez +12

Laughter is one of the most expressive and natural aspects of human speech, conveying emotions, social cues, and humor. However, most text-to-speech (TTS) systems lack the ability…

cs.SD2024

NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription

Alon Vinnikov, Amir Ivry, Aviv Hurvitz +16

We introduce the first Natural Office Talkers in Settings of Far-field Audio Recordings (``NOTSOFAR-1'') Challenge alongside datasets and baseline system. The challenge focuses on…