Results 201 to 210 of about 2,736,580 (245)

Large-scale speaker identification

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Speaker identification is one of the main tasks in speech processing. In addition to identification accuracy, large-scale applications of speaker identification give rise to another challenge: fast search in the database of speakers. In this paper, we propose a system based on i-vectors, a current approach for speaker identification, and locality ...
Ludwig Schmidt, Matthew Sharifi, Ignacio López-Moreno   +2 more
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Dimension Compactness in Speaker Identification

Proceedings of the International Conference on Informatics and Analytics, 2016
The automatic speaker identification procedure is used to extract features that help to identify the components of the acoustic signal by discarding all the other stuff like background noise, emotion, hesitation, etc. The acoustic signal is generated by a human that is filtered by the shape of the vocal tract, including tongue, teeth, etc. The shape of
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Live speaker identification in conversations

Proceedings of the 16th ACM international conference on Multimedia, 2008
The following article describes our technical demonstration of an online speaker identification system for conversations. A laptop with an internal microphone is centrally placed in the table of a meeting room. The system is able to identify the current speaker independent of spoken text or language with a latency of about 1.5 seconds and an accuracy ...
Gerald Friedland, Oriol Vinyals
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Text-independent speaker identification

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
We have developed a new approach for speaker identification (SID) that employs fenonic speaker Markov modeling (FSMM). The FSMM is a hidden Markov model whose parameters capture and describe intra-speaker spectral dynamics. FSMM technology has been successfully applied in isolated word recognition and speaker adaptation applications.
Martha Birnbaum, Kathy L. Brown, Steven Bardenhagen   +2 more
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Real-time speaker identification

Interspeech 2004, 2004
In speaker identification, most of the computation originates from distance or likelihood computations between the feature vectors of the unknown speaker and the models in the database. The identification time depends on the number of feature vectors, their dimensionality, the complexity of the speaker models and the number of speakers.
Pasi Fränti, Evgeny Karpov, Tomi Kinnunen   +2 more
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Speech Enhancement for Speaker Identification

2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018
This paper presents a algorithm for speech enhancement and speaker identification. Discrete-wavelet transform (DWT) based algorithm are used for speech enhancement. In this a Five level discrete wavelet decomposition is used and all the five level output are given as input to the binary mask thresholding function to enhance the speech patterns.
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Identification of Speakers from Their Hum

2008
Automatic Speaker Recognition (ASR)is an economic method of biometrics because of the availability of low cost and powerful processors. An ASR system will be efficient if the proper speaker-specificfeatures are extracted. Most of the state-of-the-art ASR systems use the natural speech signal (either read speech or spontaneous speech) from the subjects.
Hemant A. Patil, Robin Jain, Prakhar Kant Jain   +2 more
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Dereverberation for Speaker Identification in Meeting

2014
Current state-of-the-art speaker identification is a well-established research problem but reverberation is still a major issue used in real meeting scenarios. Dereverberation is essential for many applications such as speaker identification and speech recognition to improve the quality and intelligibility of speech signal interrupted by real ...
Yi Yang 0039, Jia Liu 0001
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Speaker's identification by voice

First European Conference on Speech Communication and Technology (Eurospeech 1989), 1989
Antonella Giannini, Massimo Pettorino, Umberto Cinque   +2 more
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Improving speaker de-identification with functional data analysis of f0 trajectories

Speech Communication, 2022
Lauri Tavi, Rosa Gonzalez Hautamäki, Tomi Kinnunen   +2 more
exaly