Reliability updating refers to a problem that integrates Bayesian updati...
Because of the widespread existence of noise and data corruption, recove...
This paper describes a speaker diarization model based on target speaker...
This paper presents a streaming speaker-attributed automatic speech
reco...
This paper proposes a token-level serialized output training (t-SOT), a ...
The maturity of structural health monitoring technology brings
ever-incr...
Multi-talker conversational speech processing has drawn many interests f...
Self-supervised learning (SSL) achieves great success in speech recognit...
This paper presents Transcribe-to-Diarize, a new approach for neural spe...
Previous works have shown that spatial location information can be
compl...
Speaker-attributed automatic speech recognition (SA-ASR) is a task to
re...
Speaker attribution is required in many real-world applications, such as...
This paper describes the Microsoft speaker diarization system for monaur...
Deep speaker embedding models have been commonly used as a building bloc...
This paper describes a system that generates speaker-annotated transcrip...
We introduce PyKaldi2 speech recognition toolkit implemented based on Ka...
Speaker independent continuous speech separation (SI-CSS) is a task of
c...
The goal of this work is to develop a meeting transcription system that ...
In this study, we develop the keyword spotting (KWS) and acoustic model ...
While recent progresses in neural network approaches to single-channel s...
In this paper, we study several microphone channel selection and weighti...
This article describes the systems jointly submitted by Institute for
In...