Results 11 to 20 of about 1,724,683 (286)

U-Vectors: Generating Clusterable Speaker Embedding from Unlabeled Data

open access: yesApplied Sciences, 2021
Speaker recognition deals with recognizing speakers by their speech. Most speaker recognition systems are built upon two stages, the first stage extracts low dimensional correlation embeddings from speech, and the second performs the classification task.
Muhammad Firoz Mridha   +5 more
doaj   +1 more source

Survey of Speaker Adaptation Methods in Speech Recognition

open access: yesJisuanji kexue yu tansuo, 2021
Speech is one of the ways of human-computer interaction, and speech recognition technology is an important part of artificial intelligence. In recent years, the application of neural network technology in the field of speech recognition has developed ...
ZHU Fangyuan, MA Zhiqiang, CHEN Yan, ZHANG Xiaoxu, WANG Hongbin, BAO Caijilahu
doaj   +1 more source

Deep Speaker Recognition: Process, Progress, and Challenges

open access: yesIEEE Access, 2021
Speaker recognition is related to human biometrics dealing with the identification of speakers from their speech. Speaker recognition is an active research area and being widely investigated using artificially intelligent mechanisms.
Abu Quwsar Ohi   +3 more
doaj   +1 more source

Analyzing Noise Robustness of Cochleogram and Mel Spectrogram Features in Deep Learning Based Speaker Recognition

open access: yesApplied Sciences, 2022
The performance of speaker recognition systems is very well on the datasets without noise and mismatch. However, the performance gets degraded with the environmental noises, channel variation, physical and behavioral changes in speaker.
Wondimu Lambamo   +2 more
doaj   +1 more source

Speaker Recognition: Progression and challenges [PDF]

open access: yesمجلة التربية والعلم, 2021
Speaker recognition is one of the field topics widely used in the field of speech technology, many research works has been conducted and little progress has been made in the past five to six years, and due to the advancement of deep learning techniques ...
Yusra Al-Irahyim, Qasim Mahmood
doaj   +1 more source

Supervised Attention for Speaker Recognition [PDF]

open access: yes2021 IEEE Spoken Language Technology Workshop (SLT), 2021
The recently proposed self-attentive pooling (SAP) has shown good performance in several speaker recognition systems. In SAP systems, the context vector is trained end-to-end together with the feature extractor, where the role of context vector is to select the most discriminative frames for speaker recognition.
Seong Min Kye   +2 more
openaire   +3 more sources

Speaker Recognition Systems in the Last Decade – A Survey [PDF]

open access: yesEngineering and Technology Journal, 2021
Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system.
Ahmed M. Ahmed, Aliaa K. Hassan
doaj   +1 more source

A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities

open access: yesIEEE Access, 2021
Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have
Muhammad Mohsin Kabir   +4 more
doaj   +1 more source

Speaker Recognition in the Wild

open access: yesCoRR, 2022
This paper was submitted to Interspeech ...
Neeraj Chhimwal   +6 more
openaire   +3 more sources

Deep ATC speaker recognition based on voiceprint aggregation [PDF]

open access: yesZhihui kongzhi yu fangzhen, 2023
For the problem of ATC speaker recognition, a method based on voiceprint feature aggregation is proposed, which could distinguish different speakers from an audio stream.
LI Yin-xuan, TANG Wen-yi, YANG Tao, WANG Xue-chuan, LI Cheng-xiang
doaj   +1 more source

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