Results 11 to 20 of about 54,457 (305)
Combining speaker identification and BIC for speaker diarization [PDF]
This paper describes recent advances in speaker diarization by incorporating a speaker identification step. This system builds upon the LIMSI baseline data partitioner used in the broadcast news transcription system. This partitioner provides a high cluster purity but has a tendency to split the data from a speaker into several clusters, when there is ...
Zhu, Xuan +3 more
core +5 more sources
A Speaker Pruning Algorithm for Real-Time Speaker Identification [PDF]
Speaker identification is a computationally expensive task. In this work, we propose an iterative speaker pruning algorithm for speeding up the identification in the context of real-time systems. The proposed algorithm reduces computational load by dropping out unlikely speakers as more data arrives into the processing buffer.
Tomi Kinnunen +2 more
openaire +2 more sources
Automatic speaker identification for a large number of speakers [PDF]
Design of speaker identification systems for a small number of speakers (around 10) with a high degree of accuracy has evolved over the past few years. A sequential identification technique gives better results when the number of speakers is large. This scheme is implemented as a decision tree classifier in which the final decision is made only after a
Dante, HM, Sarma, VVS
openaire +2 more sources
Voice Identification Using MFCC and Vector Quantization
The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection.
Bassel Alkhatib +1 more
doaj +1 more source
Speaker Recognition Systems in the Last Decade – A Survey [PDF]
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
Enhanced Multiple Speakers’ Separation and Identification for VOIP Applications Using Deep Learning
Institutions have been adopting work/study-from-home programs since the pandemic began. They primarily utilise Voice over Internet Protocol (VoIP) software to perform online meetings. This research introduces a new method to enhance VoIP calls experience
Amira A. Mohamed +2 more
doaj +1 more source
Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
Spectral restoration based speech enhancement algorithms are used to enhance quality of noise masked speech for robust speaker identification. In presence of background noise, the performance of speaker identification systems can be severely deteriorated.
Nasir Saleem, Tayyaba Gul Tareen
doaj +1 more source
Binaural speaker identification using the equalization-cancelation technique
In real applications, environmental effects such as additive noise and room reverberation lead to a mismatch between training and testing signals that substantially reduces the performance of far-field speaker identification.
Masoud Geravanchizadeh +1 more
doaj +1 more source
Most of the state-of-the-art speaker identification systems work on a monolingual (preferably English) scenario. Therefore, English-language autocratic countries can use the system efficiently for speaker recognition.
Jayanna H.S., Nagaraja B.G.
doaj +1 more source
Speaker Recognition using Random Forest [PDF]
Speaker identification has become a mainstream technology in the field of machine learning that involves determining the identity of a speaker from his/her speech sample.
Khadar Nawas K +2 more
doaj +1 more source

