Results 21 to 30 of about 231,551 (186)
Speech recognition technology for assessing team debriefing communication and interaction patterns: An algorithmic toolkit for healthcare simulation educators [PDF]
Advances in SimulationBackground Debriefings are central to effective learning in simulation-based medical education. However, educators often face challenges when conducting debriefings, which are further compounded by the lack of empirically derived knowledge on optimal ...
Robin Brutschi +5 more
doaj +2 more sources
Optimized technique for speaker changes detection in multispeaker audio recording using pyknogram and efficient distance metric. [PDF]
PLoS ONESegmentation process is very popular in Speech recognition, word count, speaker indexing and speaker diarization process. This paper describes the speaker segmentation system which detects the speaker change point in an audio recording of multi speakers ...
Sukhvinder Kaur +6 more
doaj +2 more sources
The Domain Mismatch Problem in the Broadcast Speaker Attribution Task
Applied Sciences, 2021 The demand of high-quality metadata for the available multimedia content requires the development of new techniques able to correctly identify more and more information, including the speaker information.
Ignacio Viñals +3 more
doaj +1 more source
ECAPA-TDNN Embeddings for Speaker Diarization [PDF]
Interspeech 2021, 2021 Learning robust speaker embeddings is a crucial step in speaker diarization. Deep neural networks can accurately capture speaker discriminative characteristics and popular deep embeddings such as x-vectors are nowadays a fundamental component of modern diarization systems.
Nauman Dawalatabad +5 more
openaire +4 more sources
Speaker Diarization with Lexical Information [PDF]
Interspeech 2019, 2019 This work presents a novel approach for speaker diarization to leverage lexical information provided by automatic speech recognition. We propose a speaker diarization system that can incorporate word-level speaker turn probabilities with speaker embeddings into a speaker clustering process to improve the overall diarization accuracy.
Tae Jin Park +6 more
openaire +4 more sources
Towards measuring and scoring speaker diarization fairness
, 2023 Speaker diarization, or the task of finding "who spoke and when", is now used in almost every speech processing application. Nevertheless, its fairness has not yet been evaluated because there was no protocol to study its biases one by one. In this paper
Petitpont, Frédéric +3 more
core +2 more sources
Tecnología en Marcha, 2022 Automatic segmentation and classification of audio streams is a challenging problem, with many applications, such as indexing multi – media digital libraries, information retrieving, and the building of speech corpus or spoken corpus) for particular ...
Roberto Sánchez Cárdenas +1 more
doaj +1 more source
Self-supervised Speaker Diarization
Interspeech 2022, 2022 Submitted to Interspeech ...
Yehoshua Dissen +2 more
openaire +3 more sources
Fully Supervised Speaker Diarization [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 In this paper, we propose a fully supervised speaker diarization approach, named unbounded interleaved-state recurrent neural networks (UIS-RNN). Given extracted speaker-discriminative embeddings (a.k.a. d-vectors) from input utterances, each individual speaker is modeled by a parameter-sharing RNN, while the RNN states for different speakers ...
Aonan Zhang +4 more
openaire +2 more sources
Bayes factor based speaker clustering for speaker diarization [PDF]
, 2010 This paper proposes the use of the Bayes Factor to replace the Bayesian Information Criterion (BIC) as a criterion for speaker clustering within a speaker diarization system.
R. Vogt +5 more
core +1 more source