Results 31 to 40 of about 492,976 (275)
Bioinspired auditory sound localisation for improving the signal to noise ratio of socially interactive robots [PDF]
In this paper we describe a bioinspired hybrid architecture for acoustic sound source localisation and tracking to increase the signal to noise ratio (SNR) between speaker and background sources for a socially interactive robot's speech recogniser system.
Erwin, Harry +2 more
core +2 more sources
This paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to identify Arabic speakers automatically from their voices. The Mel-Frequency Cepstral Coefficients (MFCCs) were selected to describe the speech signal.
Hesham Tolba
doaj +1 more source
All Politics is Local: The Renminbi's Prospects as a Future Global Currency [PDF]
. In this article we describe methods for improving the RWTH German speech recognizer used within the VERBMOBIL project. In particular, we present acceleration methods for the search based on both within-word and across-word phoneme models. We also study
A Sixtus +16 more
core +3 more sources
Weighted LDA techniques for I-vector based speaker verification [PDF]
This paper introduces the Weighted Linear Discriminant Analysis (WLDA) technique, based upon the weighted pairwise Fisher criterion, for the purposes of improving i-vector speaker verification in the presence of high intersession variability.
Dean, David +5 more
core +3 more sources
Real-time multilingual speech recognition and speaker diarization system based on Whisper segmentation [PDF]
This 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 +2 more sources
Accuracy of an automatic speaker recognition system predominantly depends on speaker models and features that are used. An influence of the shape of auditory critical bands and a contribution of individual components of MFCC-based feature vectors are ...
JOKIC, I. +3 more
doaj +1 more source
Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Young-Long Chen +3 more
doaj +1 more source
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Speaker recognition based on auditory impression: The role of familiarity with the speaker and language [PDF]
Speech is a fundamental means of interpersonal communication. Speaker identification based on voice and speech can be analysed through two perspectives, expert listening by trained phoneticians, for the purpose of forensic speaker identification, and by ...
Šešum Mia +3 more
doaj +1 more source
Human and Machine Speaker Recognition Based on Short Trivial Events
Trivial events are ubiquitous in human to human conversations, e.g., cough, laugh and sniff. Compared to regular speech, these trivial events are usually short and unclear, thus generally regarded as not speaker discriminative and so are largely ignored ...
Dai, Haisheng +6 more
core +1 more source

