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 94 for “"Speech signal"”.
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Autoregressive hidden Markov models and the speech signal
… (HMM) and demonstrates its application to the speech signal. This new variant of the HMM is built upon the mathematical structure of the HMM and linear prediction analysis of speech signals. By incorporating these two methods into one inference algorithm, linguistic structures are inferred from …
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Toward an interpretive framework of two-dimensional speech-signal processing
Traditional representations of speech are derived from short-time segments of the signal and result in time-frequency distributions of energy such as the short-time Fourier transform and spectrogram. Speech-signal models of such representations have had utility in a variety of applications such as …
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Basic spline wavelet transform and pitch detection of a speech signal
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Speech, signal, symptom : machine listening and the remaking of psychiatric assessment
… to interpret the semantic content of a patient's speech. Through research studies involving human subjects, the teams hope to develop more biologically based and resource-efficient screening techniques that instead analyze paralinguistic, acoustic components of speech-such as pitch, speaking rate, …
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The impact of head and body postures on the acoustic speech signal
… postural changes within speakers on the acoustic speech signal to complement research on articulatory changes under the same conditions. The research is therefore relevant for forensic phonetics, where quantifying within-speaker variation is vital for the accuracy of speaker comparison. To this …
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Estimation of glottal source features from the spectral envelope of the acoustic speech signal
Speech communication encompasses diverse types of information, including phonetics, affective state, voice quality, and speaker identity. From a speech production standpoint, the acoustic speech signal can be mainly divided into glottal source and vocal tract components, which play distinct roles …
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An asynchronous telephone speech scrambler with a new key generation method
The design of an asynchronous telephone speech scrambler is proposed and its performance experimentally studied. The scrambler transforms the speech signal into a scrambled form by permuting the frequency coefficients of the speech signal. These coefficients are permuted in pairs instead of …
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A Novel Approach for Continuous Speech Tracking and Dynamic Time Warping. Adaptive Framing Based Continuous Speech Similarity Measure and Dynamic Time Warping using Kalman Filter and Dynamic State Model
Dynamic speech properties such as time warping, silence removal and background noise interference are the most challenging issues in continuous speech signal matching. Among all of them, the time warped speech signal matching is of great interest and has been a tough challenge for the researchers. …
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ΝΕΑ ΜΕΘΟΔΟΣ ΑΥΤΟΜΑΤΗΣ ΑΝΑΓΝΩΡΙΣΗΣ ΟΜΙΛΗΤΗ
… PEAKS OF THE ENERGY-TIME TRAJECTORY OF THE SPEECH SIGNAL AND ARE EXTRACTED AUTOMATICALLY WITHOUT PREVIOUS WARPING OF THE SPEECH SIGNAL. THE SPEECH EVENTS ARE LOCATED TAKING INTO ACCOUNT THE DISTANCE BETWEEN ADJACENT EXTREMES AND THEIR ENERGIES. IT SHOULD BE NOTICED THAT THE UTTERANCE IS …
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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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Processing Methods for the Detection of Landmark Acoustic Cues
This paper presents work on an aspect of a new speech analysis system for lexical access, which is based on the concept of individual acoustic cues in the speech signal such as Landmarks, which are abrupt changes in the spectrum due to articulatory events associated with vowels and consonants. It …
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Use of principal component analysis with linear predictive features in developing a blind SNR estimation system
<p>Signal-to-noise ratio is an important concept in electrical communications, as it is a measurable ratio between a given transmitted signal and the inherent background noise of a transmission channel. Currently signal-to-noise ratio testing is primarily performed by using an intrusive method of …
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Toward More Intelligible Simultaneous Multi-channel Speech Enhancement and Recognition
<p>Traditional single-channel speech enhancement and separation methods focus on enhancing the target speech signal by suppressing the noise and interfering speech signal. The methods suffer from nonlinear distortion brought by the algorithm, which hurts the intelligibility of the speech and also …
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Noise Reduction with Microphone Arrays for Speaker Identification
… are limited in that they may distort the desired speech signal due to overlapping spectral content of the speech and noise. It is therefore of interest to investigate the use of multichannel noise reduction algorithms to further attenuate noise while attempting to preserve the speech signal of …
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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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Confusion modelling for lip-reading
… of this process, with the aim of building a speech recognition system entirely driven by lip movements. However, this work has so far produced poor results because of factors such as high variability of speaker features, diffi�culties in mapping from visual features to speech sounds, and high …
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Fuzzy Analysis of Speech Metrics to Estimate Crew Alertness
… approach for estimating alertness levels from speech and tagging them with a reliability component has been developed. The Fatigue Quotient and Believability are both derived from the time series analysis of the speech signal in the communication between the operator and dispatch. Operator …
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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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Aspiration noise during phonation : synthesis, analysis, and pitch-scale modification
… Based on the linear source-filter model of speech production, we implement a vowel synthesizer in which the aspiration noise source is temporally modulated by the periodic source waveform. Modulations in the noise source waveform and their synchrony with the periodic source are shown to be …
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