Results 41 to 50 of about 231,551 (186)
Analysis of transition cost and model parameters in speaker diarization for meetings
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
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
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
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]
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
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
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]
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
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]
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

