Results 31 to 40 of about 1,796,368 (288)
Deep Learning and Fourier Transform for Speaker Recognition(DLFSR) [PDF]
Automatic Speaker recognition (ASR) and verification have gained increased visibility and significance in society as speech technology. Speaker recognition has undergone a revolution due to deep learning techniques, specifically deep neural networks ...
Taqwa Sayed, Amr Gody, Sayed Muhammad
doaj +1 more source
Unsupervised Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction [PDF]
Hidden Markov model (HMM)-based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...
Matthew Gibson, William Byrne
core +2 more sources
Speaker recognition for children's speech [PDF]
This paper presents results on Speaker Recognition (SR) for children's speech, using the OGI Kids corpus and GMM-UBM and GMM-SVM SR systems. Regions of the spectrum containing important speaker information for children are identified by conducting SR experiments over 21 frequency bands.
Saeid Safavi 0001 +5 more
openaire +3 more sources
Cross-entropy analysis of the information in forensic speaker recognition [PDF]
Proceedings of Odyssey 2008: The Speaker and Language Recognition Workshop, Stellenbosch, South AfricaIn this work we analyze the average information supplied by a forensic speaker recognition system in an information theoretical way.
Ramos Castro, Daniel +1 more
core +1 more source
Constrained subword units for speaker recognition
Paper 02, 6 S.Phonetic features have been proposed to overcome performance degradation in spectral speaker recognition in difficult acoustic conditions.
Baum, D. +3 more
core +1 more source
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
Phoneme and sub-phoneme T-normalization for text-dependent speaker recognition [PDF]
Proceedings of Odyssey 2008: The Speaker and Language Recognition Workshop, Stellenbosch, South AfricaTest normalization (T-Norm) is a score normalization technique that is regularly and successfully applied in the context of text-independent speaker ...
González Rodríguez, Joaquín +2 more
core +1 more source
Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema [PDF]
06.08.13 KB. Ok to add accepted version to spiral, embargo period expired. SpringerIn this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition.
Kotti, Margarita +3 more
core +1 more source
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
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source

