Results 1 to 10 of about 145 (117)
Speaker Diarization With LSTM [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Published at ICASSP ...
Quan Wang +4 more
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Speaker Diarization: A Review of Recent Research [PDF]
IEEE Transactions on Audio Speech and Language Processing, 2012 Speaker diarization is the task of determining "who spoke when?" in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. Initially, it was proposed as a research topic related to automatic speech recognition, where speaker diarization serves as an upstream processing step.
Oriol Vinyals +2 more
exaly +3 more sources
Probabilistic Embeddings for Speaker Diarization [PDF]
The Speaker and Language Recognition Workshop (Odyssey 2020), 2020 Awarded: Jack Godfrey Best Student Paper Award, at Odyssey 2020: The Speaker and Language Recognition Workshop ...
Silnova, Anna +4 more
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Self-Conditioning via Intermediate Predictions for End-to-End Neural Speaker Diarization
IEEE Access, 2023 This paper presents a speaker diarization model that incorporates label dependency via intermediate predictions. The proposed method is categorized as an end-to-end neural diarization (EEND), which has been a promising method for solving the speaker ...
Yusuke Fujita +2 more
doaj +1 more source
Speaker diarization through speaker embeddings [PDF]
2015 23rd European Signal Processing Conference (EUSIPCO), 2015 Publication in the conference proceedings of EUSIPCO, Nice, France ...
Mickael Rouvier +2 more
openaire +3 more sources
Speech Enhancement for Multimodal Speaker Diarization System
IEEE Access, 2020 Speaker diarization system identifies the speaker homogenous regions in those set of recordings where multiple speakers are present. It answers the question `who spoke when?'.
Rehan Ahmad, Syed Zubair, Hani Alquhayz
doaj +1 more source
Mathematics, 2021 Recently developed methods in spontaneous speech analytics require the use of speaker separation based on audio data, referred to as diarization. It is applied to widespread use cases, such as meeting transcription based on recordings from distant ...
Sergei Astapov +9 more
doaj +1 more source
Tecnología en Marcha, 2022 Speaker diarization is the task of automatically identifying speaker identities and detecting their speaking times in an audio recording. Several algorithms have shown improvements in the performance of this task during the past years. However, it still
Alejandro Chacón-Vargas +2 more
doaj +1 more source
Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research
Frontiers in Psychology, 2020 Speaker diarization is the practice of determining who speaks when in audio recordings. Psychotherapy research often relies on labor intensive manual diarization. Unsupervised methods are available but yield higher error rates.
Lukas Fürer +6 more
doaj +1 more source
IEEE Access, 2022 Speaker diarization refers to methods for identifying speakers from audio recordings. An important application comes from the need to assess student interactions in collaborative learning environments.
Antonio Gomez +2 more
doaj +1 more source