Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research [PDF]
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.
Ronan Zimmermann +2 more
exaly +4 more sources
An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network [PDF]
Scientific ReportsSpeaker diarization, identifying “who spoke when,” plays a vital role in speech transcription, supervised fine-tuning of large language models, conversational AI, and audio content analysis by providing labeled speaker segments.
Hikmat Khan, Ali Daud, Riad Alharbey
exaly +3 more sources
Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library [PDF]
Sensors, 2023 Diarization is an important task when work with audiodata is executed, as it provides a solution to the problem related to the need of dividing one analyzed call recording into several speech recordings, each of which belongs to one speaker.
Volodymyr Khoma +3 more
doaj +2 more sources
Automatic speaker diarization for natural conversation analysis in autism clinical trials [PDF]
Scientific Reports, 2023 Challenges in social communication is one of the core symptom domains in autism spectrum disorder (ASD). Novel therapies are under development to help individuals with these challenges, however the ability to show a benefit is dependent on a sensitive ...
James O’Sullivan +14 more
doaj +2 more sources
Real-time multilingual speech recognition and speaker diarization system based on Whisper segmentation [PDF]
PeerJ Computer ScienceThis research presents the development of a cutting-edge real-time multilingual speech recognition and speaker diarization system that leverages OpenAI’s Whisper model. The system specifically addresses the challenges of automatic speech recognition (ASR)
Ke-Ming Lyu +2 more
doaj +3 more sources
Speaker-turn aware diarization for speech-based cognitive assessments [PDF]
Frontiers in Neuroscience, 2023 IntroductionSpeaker diarization is an essential preprocessing step for diagnosing cognitive impairments from speech-based Montreal cognitive assessments (MoCA).MethodsThis paper proposes three enhancements to the conventional speaker diarization methods ...
Sean Shensheng Xu +9 more
doaj +2 more sources
Multisensory Fusion for Unsupervised Spatiotemporal Speaker Diarization [PDF]
SensorsSpeaker diarization consists of answering the question of “who spoke when” in audio recordings. In meeting scenarios, the task of labeling audio with the corresponding speaker identities can be further assisted by the exploitation of spatial features ...
Paris Xylogiannis +3 more
doaj +2 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?'.
Hani Alquhayz +2 more
exaly +3 more sources
Speaker diarization system using HXLPS and deep neural network
AEJ - Alexandria Engineering Journal, 2018 In general, speaker diarization is defined as the process of segmenting the input speech signal and grouped the homogenous regions with regard to the speaker identity. The main idea behind this system is that it is able to discriminate the speaker signal
V. Subba Ramaiah, R. Rajeswara Rao
exaly +3 more sources
Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques [PDF]
SensorsParkinson’s disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms. One of the notable non-motor symptoms of PD is the presence of vocal disorders, attributed to the underlying pathophysiological changes in ...
Michele Giuseppe Di Cesare +3 more
doaj +2 more sources