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03/08/2023
A robust method for reliability updating with equality information using sequential adaptive importance sampling
Reliability updating refers to a problem that integrates Bayesian updati...
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12/24/2022
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Because of the widespread existence of noise and data corruption, recove...
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08/27/2022
Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization
This paper describes a speaker diarization model based on target speaker...
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03/30/2022
Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
This paper presents a streaming speaker-attributed automatic speech reco...
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02/02/2022
Streaming Multi-Talker ASR with Token-Level Serialized Output Training
This paper proposes a token-level serialized output training (t-SOT), a ...
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01/17/2022
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
The maturity of structural health monitoring technology brings ever-incr...
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10/27/2021
Separating Long-Form Speech with Group-Wise Permutation Invariant Training
Multi-talker conversational speech processing has drawn many interests f...
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10/26/2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognit...
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10/07/2021
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR
This paper presents Transcribe-to-Diarize, a new approach for neural spe...
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09/22/2021
Diarisation using location tracking with agglomerative clustering
Previous works have shown that spatial location information can be compl...
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07/06/2021
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
Speaker-attributed automatic speech recognition (SA-ASR) is a task to re...
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02/06/2021
Speaker attribution with voice profiles by graph-based semi-supervised learning
Speaker attribution is required in many real-world applications, such as...
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10/22/2020
Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
This paper describes the Microsoft speaker diarization system for monaur...
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05/22/2020
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Deep speaker embedding models have been commonly used as a building bloc...
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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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07/12/2019
Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch
We introduce PyKaldi2 speech recognition toolkit implemented based on Ka...
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04/13/2019
Low-Latency Speaker-Independent Continuous Speech Separation
Speaker independent continuous speech separation (SI-CSS) is a task of c...
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10/08/2018
Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks
The goal of this work is to develop a meeting transcription system that ...
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04/14/2018
Developing Far-Field Speaker System Via Teacher-Student Learning
In this study, we develop the keyword spotting (KWS) and acoustic model ...
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03/29/2018
Cracking the cocktail party problem by multi-beam deep attractor network
While recent progresses in neural network approaches to single-channel s...
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04/12/2016
Noise Robust Speech Recognition Using Multi-Channel Based Channel Selection And ChannelWeighting
In this paper, we study several microphone channel selection and weighti...
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02/05/2016
