Results 41 to 50 of about 231,551 (186)

Analysis of transition cost and model parameters in speaker diarization for meetings

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
There has been little work in the literature on the speaker diarization of meetings with multiple distance microphones since the publications in 2012 related to the last National Institute of Standards (NIST) Rich Transcription Evaluation Campaign in ...
Beatriz Martínez-González   +4 more
doaj   +1 more source

Speaker Diarization With Lexical Information

open access: yesCoRR, 2018
This version removed by arXiv administrators because the author did not have the right to agree to our license at the time of ...
Park, Tae Jin   +3 more
openaire   +3 more sources

Web Radio Automation for Audio Stream Management in the Era of Big Data

open access: yesInformation, 2020
Radio is evolving in a changing digital media ecosystem. Audio-on-demand has shaped the landscape of big unstructured audio data available online.
Nikolaos Vryzas   +2 more
doaj   +1 more source

Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
In this paper, we present a novel speaker diarization system for streaming on-device applications. In this system, we use a transformer transducer to detect the speaker turns, represent each speaker turn by a speaker embedding, then cluster these embeddings with constraints from the detected speaker turns.
Wei Xia   +6 more
openaire   +3 more sources

FEATURE EXTRACTION USING I-VECTOR AND X-VECTOR METHODS FOR SPEAKER DIARIZATION [PDF]

open access: yesICTACT Journal on Soft Computing
Speaker diarization is the process of identifying who is speaking at different times in audio recordings. This is important in various situations, such as recording meetings, monitoring calls in call centers, or analyzing media.
Vinod K. Pande   +2 more
doaj   +1 more source

Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop

open access: yesApplied Sciences, 2022
State of the art diarization systems now achieve decent performance but those performances are often not good enough to deploy them without any human supervision.
Yevhenii Prokopalo   +4 more
doaj   +1 more source

Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers Using End-to-End Speaker-Attributed ASR

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
This paper presents Transcribe-to-Diarize, a new approach for neural speaker diarization that uses an end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR). The E2E SA-ASR is a joint model that was recently proposed for speaker counting, multi-talker speech recognition, and speaker identification from monaural audio that contains ...
Naoyuki Kanda   +6 more
openaire   +2 more sources

Towards an Unsupervised Speaking Style Voice Building Framework:Multi-Style Speaker Diarization [PDF]

open access: yes, 2012
Current text-to-speech systems are developed using studio-recorded speech in a neutral style or based on acted emotions. However, the proliferation of media sharing sites would allow developing a new generation of speech-based systems which could cope ...
Lopez-Ludena, V   +6 more
core  

Acoustic Vector Sensor–Based Speaker Diarization Using Sound Intensity Analysis for Two-Speaker Dialogues

open access: yesApplied Sciences
Speaker diarization is a key component of automatic speech recognition (ASR) systems, particularly in interview scenarios where speech segments must be assigned to individual speakers.
Grzegorz Szwoch   +2 more
doaj   +1 more source

Channel and channel subband selection for speaker diarization [PDF]

open access: yes, 2022
Speaker diarization can be considered to be one of the complex problems in speaker recognition. A reliable diarization system should be able to accurately determine the variable length utterances which a speaker contributes to multi-speaker conversations.
Al-Faris, Mahmoud M.   +7 more
core   +1 more source

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