activity
20162022
most citedVoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

10 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

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

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.AS20201 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.AS202010 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…

cs.CL2016

The IBM Speaker Recognition System: Recent Advances and Error Analysis

Seyed Omid Sadjadi, Jason Pelecanos, Sriram Ganapathy

We present the recent advances along with an error analysis of the IBM speaker recognition system for conversational speech. Some of the key advancements that contribute to our sys…

cs.SD2016

The IBM 2016 Speaker Recognition System

Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos

In this paper we describe the recent advancements made in the IBM i-vector speaker recognition system for conversational speech. In particular, we identify key techniques that cont…