research
∙
09/15/2023
Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition
Many real-life applications of automatic speech recognition (ASR) requir...
share
research
∙
07/21/2023
MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems
MeetEval is an open-source toolkit to evaluate all kinds of meeting tran...
research
∙
11/29/2022
On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems
We present a general framework to compute the word error rate (WER) of A...
research
∙
07/28/2022
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
Recent speaker diarization studies showed that integration of end-to-end...
research
∙
05/02/2022
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
We propose a system that transcribes the conversation of a typical meeti...
research
∙
04/04/2022
An Initialization Scheme for Meeting Separation with Spatial Mixture Models
Spatial mixture model (SMM) supported acoustic beamforming has been exte...
research
∙
11/15/2021
Monaural source separation: From anechoic to reverberant environments
Impressive progress in neural network-based single-channel speech source...
research
∙
10/29/2021
SA-SDR: A novel loss function for separation of meeting style data
Many state-of-the-art neural network-based source separation systems use...
research
∙
07/30/2021
Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers
Automatic transcription of meetings requires handling of overlapped spee...
research
∙
07/30/2021
Speeding Up Permutation Invariant Training for Source Separation
Permutation invariant training (PIT) is a widely used training criterion...
research
∙
06/24/2020
Multi-path RNN for hierarchical modeling of long sequential data and its application to speaker stream separation
Recently, the source separation performance was greatly improved by time...
research
∙
06/04/2020
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
Most approaches to multi-talker overlapped speech separation and recogni...
research
∙
12/18/2019
End-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
research
∙
12/18/2019
Ene-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
research
∙
02/21/2019
