This study seeks to quantify the effectiveness of a broad range of acoustic features for speaker identification and their impact in feature fusion. Sixteen different acoustic feat...
Aaron D. Lawson, Pavel Vabishchevich, Mark C. Hugg...
This paper presents a method for mitigating the impact of reverberation upon speaker identification. In particular, two reverberation mitigation techniques were studied: one that ...
Catherine M. Vannicola, Brett Y. Smolenski, Brando...
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
This paper describes a novel approach to improve monoaural speaker identification where two speakers are present in a single-microphone recording. The goal is to identify both of ...
Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng...
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
Lots of words can be said about the importance of speaker identification for people, but no word might be as meaningful as the imagination of a life without having any speaker iden...