Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 27 for “"Speaker identification"”.
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Fine structure features for speaker identification
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Text-Independent Speaker Identification using Statistical Learning
… of discriminating between the actual speaker and impersonators. That functionality is the focus of this thesis.</p> <p>Several methods have been proposed to be used to achieve this system and some success has been recorded so far. However, due to the vital role this system has to play …
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Noise Reduction with Microphone Arrays for Speaker Identification
… noise reduction algorithms to aid aiding in speaker identification. Recording a speaker in the presence of acoustic background noise ultimately limits the performance and confidence of speaker identification algorithms. In situations where it is impossible to control the noise environment …
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Energy-efficient speaker identification with low-precision networks
… I demonstrate an approach for text-independent speaker identification, targeting evaluation on low-cost, low-resource FPGAs. In the first half of this work, we contribute a set of of speaker ID models that build on prior existing small-model state-of-art, and reduce bytesize by >85%, with a 3% …
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Speaker Identification and Verification Using Line Spectral Frequencies
State-of-the-art speaker identification and verification (SIV) systems provide near perfect performance under clean conditions. However, their performance deteriorates in the presence of background noise. Many feature compensation, model compensation and signal enhancement techniques have been …
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The Significance of The Source Spectrum in Speaker Identification
Made available in DSpace on 2014-12-11T23:56:19Z (GMT). No. of bitstreams: 1 7317219.pdf: 2667198 bytes, checksum: 9eeeb2b2cba7edee6977bfc079a054d7 (MD5) Previous issue date: 1972
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Multimodal emotion recognition and speaker identification in financial conversations
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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A comparison of features for large population speaker identification
… environments. It is the lack of performance of speaker recognition systems with telephone channels that this work addresses. The human auditory system is a speech recognizer with excellent performance, especially in noisy environments. Since humans perform well at ignoring noise more than any …
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Speaker Identification Based On Discriminative Vector Quantization And Data Fusion
Speaker Identification (SI) approaches based on discriminative Vector Quantization (VQ) and data fusion techniques are presented in this dissertation. The SI approaches based on Discriminative VQ (DVQ) proposed in this dissertation are the DVQ for SI (DVQSI), the DVQSI with Unique speech feature …
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Evaluation of different Support Vector Machines (SVM) for speaker identification
… at the expense of computational time. The identification error rate using the hybrid system was further reduced by 7.7%.
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Hierachical methods for large population speaker identification using telephone speech
This study focuses on speaker identificat ion. Several problems such as acoustic noise, channel noise, speaker variability, large population of known group of speakers wi thin the system and many others limit good SiD performance. The SiD system extracts speaker specific features from digitised …
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An investigation of vowel formant tracks for purposes of speaker identification.
Thesis. 1975. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Modeling of the glottal flow derivative waveform with application to speaker identification
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Children's Perception of Speaker Identity from Spectrally Degraded Input
Speaker identification is a challenge for cochlear implant users because their prosthesis restricts access to the cues that underlie natural voice quality. The present thesis examined speaker recognition in the context of spectrally degraded sentences. The listeners of interest were child implant …
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Research on the accuracy of Lithuanian speaker’s identification using recurrent neural networks /
… of this thesis is to analyze the process of speaker identification by one’s voice by classifying a set of speaker’s voice features extracted from one’s voice sample. This thesis presents methods that are used to identify a speaker by voice. The process of speaker identification consists of …
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Decoding the Depths: Developing a Click Separator for Predictive Speaker Recognition in Sperm Whale Conversations Using Machine Learning
… thus far. This research aimed to build a whale-speaker identification model that can be paired with a predictive click-detection mechanism to automate the production of accurate annotations. I discuss three methodologies that aim to achieve this objective. The first proposal is a heuristic-based …
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An approach to a robust speaker recognition system
… presents a design of a robust, automatic speaker recognition (ASR) system. The ASR system is designed to work with both text-independent and text-dependent speaker recognition. Several speaker spectral features are studied to determine their contribution in term of accuracy to the system. …
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Singing voice analysis/synthesis
… research has focused on speech recognition and speaker identification, but relatively little work has been performed specifically on singing. There are significant differences between speech and singing in terms of both production and perception. Traditional computational models of speech have …
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Elicitation techniques for the evaluation of speech under stress: Towards a framework for use in a controlled environment
… systems and devices. Speech recognition and speaker identification algorithms will have to improve and take emotional speech into account. Modelling the influence of stress on speech and voice is of interest to researchers from many different disciplines including security, …
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Noise Robust Pitch Tracking by Subband Autocorrelation Classification
… SAcC output adds a significant improvement to a Speaker Identification (SID) system for RATS as well, suggesting the potential contribution of SAcC pitch tracking in the higher-level tasks.
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