activity
20212024
most citedHuman Listening and Live Captioning: Multi-Task Training for Speech Enhancement

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

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…

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…

eess.AS2023

Real-Time Audio-Visual End-to-End Speech Enhancement

Zirun Zhu, Hemin Yang, Min Tang +3

Audio-visual speech enhancement (AV-SE) methods utilize auxiliary visual cues to enhance speakers' voices. Therefore, technically they should be able to outperform the audio-only s…

eess.AS2021★ 1 cited

VarArray: Array-Geometry-Agnostic Continuous Speech Separation

Takuya Yoshioka, Xiaofei Wang, Dongmei Wang +4

Continuous speech separation using a microphone array was shown to be promising in dealing with the speech overlap problem in natural conversation transcription. This paper propose…