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 448 for “"speech recognition"”.
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Speech Recognition under Stress
… Southern Illinois University- Carbondale. TITLE: SPEECH RECOGNITION UNDER STRESS MAJOR PROFESSOR: Dr. Nazeih M. Botros In this dissertation, three techniques, Dynamic Time Warping (DTW), Hidden Markov Models (HMM), and Hidden Control Neural Network (HCNN) are utilized to realize talker-independent …
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Speech recognition of foreign accent
This thesis investigates the application of AutoRegressive (AR) modeling techniques on single syllable words to detect foreign accents in spoken American English. The study involves thirty-one native American English speakers, and six native Brazilian speakers. Five different distance measures are …
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On-device mobile speech recognition
Despite many years of research, Speech Recognition remains an active area of research in Artificial Intelligence. Currently, the most common commercial application of this technology on mobile devices uses a wireless client – server approach to meet the computational and memory demands of the …
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Automatic Speech Recognition Quality Estimation
Evaluation of automatic speech recognition (ASR) systems is difficult and costly, since it requires manual transcriptions. This evaluation is usually done by computing word error rate (WER) that is the most popular metric in ASR community. Such computation is doable only if the manual references …
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Speech recognition in programmable logic
Speech recognition is a computationally demanding task, especially the decoding part, which converts pre-processed speech data into words or sub-word units, and which incorporates Viterbi decoding and Gaussian distribution calculations. In this thesis, this part of the recognition process is …
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Improving multilingual speech recognition systems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Spontaneous speech recognition using HMMs
This thesis describes a speech recognition system that was built to support spontaneous speech understanding. The system is composed of (1) a front end acoustic analyzer which computes Mel-frequency cepstral coefficients, (2) acoustic models of context-dependent phonemes (triphones), (3) a back-off …
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Energy-scalable speech recognition circuits
… with speaking to machines, the applications of speech interfaces will diversify and include a wider range of devices, such as wearables, appliances, and robots. Automatic speech recognition (ASR) is a key component of these interfaces that is computationally intensive. This thesis shows how we …
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Fractal based speech recognition and synthesis
… message is most often the primary purpose of speech communication and the recognition of this message by machine that would be most useful. This research consists of two major parts. The first part presents a novel and promising approach for estimating the degree of recognition of speech …
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Multiview feature learning for speech recognition
… transformation of acoustic feature vectors for speech recognition, in a framework where apart from the acoustics, additional views are available at training time. We consider a multiview learning approach based on canonical correlation analysis to learn linear transformations of the acoustic …
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Consonant landmark detection for speech recognition
… of abrupt acoustic discontinuities in the speech signal, which constitute landmarks for consonant sounds. Because a large amount of phonetic information is concentrated near acoustic discontinuities, more focused speech analysis and recognition can be performed based on the landmarks. Three …
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Pronunciation learning for automatic speech recognition
… remains the Achilles heel of modern automatic speech recognizers (ASRs). Unlike stochastic acoustic and language models that learn the values of their parameters from training data, the baseform pronunciations of words in an ASR vocabulary are typically specified manually, and do not change, …
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Subword lexical modelling for speech recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Multimodal speech recognition with ultrasonic sensors
… of articulator movement is an area of multimodal speech recognition that has not been researched extensively. The widely-researched audio-visual speech recognition (AVSR), which relies upon video data, is awkwardly high-maintenance in its setup and data collection process, as well as …
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Speaker model adaptation in automatic speech recognition.
One of the main obstacles of automatic speech recognition is to achieve speaker independence. It is generally believed that the main difficulty is the inter-speaker variability in which the acoustic characteristics of different speakers are not the same. There are mainly three approaches to …
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Hidden Markov model based visual speech recognition
Speech recognition can be made more accurate if visual speech information such as the movement of the lips is taken into consideration. In this thesis, studies on visual speech processing are presented. Classifiers based on Hidden Markov Model (HMM) are first explored for modeling and identifying …
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Speech recognition by computer: algorithms and architectures
… of algorithms and architectures for computer recognition of human speech. Three speech recognition algorithms have been implemented, using (a) Walsh Analysis, (b) Fourier Analysis and (c) Linear Predictive Coding. The Fourier Analysis algorithm made use of the Prime-number Fourier Transform …
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Pronunciation modeling for large vocabulary speech recognition
… variability of words in conversational speech is one of the major causes of low accuracy in automatic speech recognition (ASR). Many pronunciation modeling approaches have been developed to address this problem. Some explicitly manipulate the pronunciation dictionary as well as the set …
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