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20162023
most citedVoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

10 citations · 13 across the 6 of their papers we have counts for

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5 papers · 1 filter

eess.AS2023

USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models

Guanlong Zhao, Yongqiang Wang, Jason Pelecanos +5

We introduce a multilingual speaker change detection model (USM-SCD) that can simultaneously detect speaker turns and perform ASR for 96 languages. This model is adapted from a spe…

eess.AS2022

Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech

Quan Wang, Yang Yu, Jason Pelecanos +2

In this paper, we introduce a novel language identification system based on conformer layers. We propose an attentive temporal pooling mechanism to allow the model to carry informa…

eess.AS2021★ 2 cited

SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System

Roza Chojnacka, Jason Pelecanos, Quan Wang +1

In this paper, we describe SpeakerStew - a hybrid system to perform speaker verification on 46 languages. Two core ideas were explored in this system: (1) Pooling training data of…

eess.AS2020★ 1 cited

Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech

Yiling Huang, Yutian Chen, Jason Pelecanos +1

In recent years, Text-To-Speech (TTS) has been used as a data augmentation technique for speech recognition to help complement inadequacies in the training data. Correspondingly, w…

eess.AS2020★ 10 cited

VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

Quan Wang, Ignacio Lopez Moreno, Mert Saglam +8

We introduce VoiceFilter-Lite, a single-channel source separation model that runs on the device to preserve only the speech signals from a target user, as part of a streaming speec…