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 4523 for “"speech"”.
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Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis …
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Speech Enhancement Using Speech Synthesis Techniques
<p>Traditional speech enhancement systems reduce noise by modifying the noisy signal to make it more like a clean signal, which suffers from two problems: under-suppression of noise and over-suppression of speech. These problems create distortions in enhanced speech and hurt the quality of the …
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Articulatory Speech Synthesis and Speech Production Modelling
… work, we carefully argue that the articulatory speech production model has the potential to flexibly synthesize natural-quality speech sounds and to provide a compact computational model for speech production that can be beneficial to a wide range of areas in speech signal processing.
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Teaching Speech Delivery Skills to Reduce Speech Anxiety
The problem. Speech anxiety is a common problem among college students. This can hurt the student academically, and could also continue to affect him or her in professional situations once out of school. Therefore, an economical program designed to teach speech skills and reduce their anxiety would …
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Speech act theory, discourse structure and indirect speech
Speech Act Theory is concerned with the ways in which language can be used. It originated with Austin, but was developed by Searle. The theories of Austin and Searle are described and several problem areas are identified. If it is to be a viable theory of language usage, speech act theory must be …
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Automatic Lipreading to Enhance Speech Recognition (Speech Reading)
Automatic recognition of the acoustic speech signal alone is inaccurate and computationally expensive. Additional sources of speech information, such as lipreading (or speechreading), should enhance automatic speech recognition, just as lipreading is used by humans to enhance speech recognition …
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Speech Therapy
Words can hurt. Most theorists who are working on speech and harm, even across disciplinary lines, agree to that much. There is less agreement, however, regarding the mechanisms by which speech causes or constitutes harm. By way of paying special attention to the dangers of ordinary, and to varying …
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Prosody Dependent Speech Recognition on American Radio News Speech
"Prosody (the melody and rhythm of natural speech), although important for human speech recognition, has not been fully utilized in large vocabulary continuous speech recognition. In this dissertation, we propose a novel ""prosody-dependent speech recognition"" framework, in which word and prosody …
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Learning speech embeddings for speaker adaptation and speech understanding
… popularity as a modeling approach for many speech processing tasks including automatic speech recognition (ASR) and spoken language understanding (SLU). In this dissertation, there are two main goals. The first goal is to propose modeling approaches in order to learn speaker embeddings for …
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Private Speech and Inner Speech in Typical and Atypical Development
… through their activities: They produce private speech to regulate their thought and behaviour, which is internalised to form inner speech, or silent verbal thought. Private speech and inner speech can together be referred to as self-directed speech (SDS). SDS is thought to be an important aspect …
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Immediate transfer of learning from speech perception to speech production
… later perception (Onishi et al., 2002), and speech production errors reflect constraints present in recently spoken syllables (Dell et al., 2000). There is little evidence, however, that such phonotactic learning can transfer between perception and production (Warker et al., 2009). In three …
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A speech recognition module for speech-to-text language translation
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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On speech processing
… important ways of communication between humans. Speech processing refers to the technology of speech signal transformations for more efficient storage and transmission, for enhanced intelligibility and ease of assimilation. According to the different purpose as above, technologies on speech …
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Modelling the effects of speech rate variation for automatic speech recognition
In automatic speech recognition it is a widely observed phenomenon that variations in speech rate cause severe degradations of the speech recognition performance. This is due to the fact that standard stochastic based speech recognition systems specialise on average speech rate. Although many …
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Development of Thai Speech Audiometry Materials for Measuring Speech Recognition Thresholds
Speech audiometry materials are essential for thorough audiological testing. One aspect of speech audiometry is evaluating an individual's speech recognition threshold (SRT). Recorded materials for SRT are available in many languages; however there are no widely published recorded SRT materials …
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Adapting Large-Scale Speaker-Independent Automatic Speech Recognition to Dysarthric Speech
… improvements in speaker-independent automatic speech recognition (ASR), the performance of large-scale speech recognition systems is still significantly worse on dysarthric speech than on standard speech. Both the inherent noise of dysarthric speech and the lack of large datasets add to the …
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Finding Sparse Subnetworks in Self-Supervised Speech Recognition and Speech Synthesis
The modern paradigm in speech processing has demonstrated the importance of scale and compute for end-to-end speech recognition and synthesis. For instance, state-of-the-art self-supervised speech representation learning models typically consists of more than 300M model parameters and being trained …
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Analysis and modeling of non-native speech for automatic speech recognition
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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