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.

Results

Showing 1 to 20 of 28 for “"continuous speech"”.

  1. Synthesis of continuous speech by concatenation of isolated words

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1983.

    mit Repository record for Synthesis of continuous speech by concatenation of isolated words (opens in a new tab)

  2. Integrate template matching and statistical modeling for continuous speech recognition

    … with statistical modeling is proposed to improve continuous speech recognition. Commonly used Hidden Markov Models (HMMs) are ineffective in modeling details of speech temporal evolutions, which can be overcome by template-based methods. However, template-based methods are difficult to be extended …

    missouri Repository record for Integrate template matching and statistical modeling for continuous speech recognition (opens in a new tab)

  3. Large vocabulary continuous speech recognition using linguistic features and constraints

    Automatic speech recognition (ASR) is a process of applying constraints, as encoded in the computer system (the recognizer), to the speech signal until ambiguity is satisfactorily resolved to the extent that only one sequence of words is hypothesized. Such constraints fall naturally into two …

    mit Repository record for Large vocabulary continuous speech recognition using linguistic features and constraints (opens in a new tab)

  4. Analysis of acoustic cues for identifying consonant /ð/ in continuous speech

    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.

    mit Repository record for Analysis of acoustic cues for identifying consonant /ð/ in continuous speech (opens in a new tab)

  5. 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. …

    bradford Repository record for 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 (opens in a new tab)

  6. A characterization of the problem of new, out-of-vocabulary words in continuous-speech recognition and understanding

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

    mit Repository record for A characterization of the problem of new, out-of-vocabulary words in continuous-speech recognition and understanding (opens in a new tab)

  7. The Effectiveness of Oral Expression through the use of Continuous Speech Recognition Technology in Supporting the Written Composition of Postsecondary Students with Learning Disabilities

    … of providing a transcription service is high. Speech recognition has the potential to overcome these shortcomings, but presently little research has been conducted to investigate the advantages and disadvantages of this mode of writing. The purpose of this study was to examine the compensatory …

    vt Repository record for The Effectiveness of Oral Expression through the use of Continuous Speech Recognition Technology in Supporting the Written Composition of Postsecondary Students with Learning Disabilities (opens in a new tab)

  8. Taking attention away from the auditory modality : investigations of the effect on speech processing using machine learning

    Real-world speech processing often takes place in complex multisensory environments. Listeners may need to prioritize sensory inputs from modalities other than audition. Selective attention is thought to be critical in selecting the sensory modality most relevant to the task at hand. Two critical …

    texas Repository record for Taking attention away from the auditory modality : investigations of the effect on speech processing using machine learning (opens in a new tab)

  9. Detection of consonant voicing : a module for a hierarchical speech recognition system

    … thesis, a method for designing a hierarchical speech recognition system at the phonetic level is presented. The system employs various component modules to detect acoustic cues in the signal. These acoustic cues are used to infer values of features that describe segments. Features are …

    mit Repository record for Detection of consonant voicing : a module for a hierarchical speech recognition system (opens in a new tab)

  10. Automatic Phoneme Recognition with Segmental Hidden Markov Models

    A speaker independent continuous speech phoneme recognition and segmentation system is presented. We discuss the training and recognition phases of the phoneme recognition system as well as a detailed description of the integrated elements. The Hidden Markov Model (HMM) based phoneme models are …

    vt Repository record for Automatic Phoneme Recognition with Segmental Hidden Markov Models (opens in a new tab)

  11. An artificial Intelligence Approach to improving Speech Recognition

    Speech Recognition is a technology with promising applications. However, the performance of current speech recognizers greatly limit their widespread use. Approaches to reducing the word error rate have mainly been associated with statistical techniques. As a consequence, speech recognition results …

    cape-town Repository record for An artificial Intelligence Approach to improving Speech Recognition (opens in a new tab)

  12. Classification of vocal fold vibration as regular or irregular in normal, voiced speech

    … an important communicative function in human speech and occurs allophonically in American English. This thesis uses cues from both the temporal and frequency domains - such as fundamental frequency, normalized RMS amplitude, smoothed-energy-difference amplitude (a measure of abruptness in …

    mit Repository record for Classification of vocal fold vibration as regular or irregular in normal, voiced speech (opens in a new tab)

  13. An approach to a robust speaker recognition system

    … addition, many other system components such as speech endpoint detection, automatic noise thresholds, etc. are required to build correctly in order to achieve high speaker recognition accuracy. Multi-stage decision process is used both to improve and to speed up the decision if certain criteria …

    vt Repository record for An approach to a robust speaker recognition system (opens in a new tab)

  14. Subword-based approaches for spoken document retrieval

    … items from a large collection of recorded speech messages in response to a user specified natural language text query. We investigate the use of subword unit representations for SDR as an alternative to words generated by either keyword spotting or continuous speech recognition. Our …

    mit Repository record for Subword-based approaches for spoken document retrieval (opens in a new tab)

  15. Learning spoken language through vision

    … computers do the same? Conventional automatic speech recognition systems have a long history and have recently made great strides thanks to the revival of deep neural networks. However, their reliance on highly supervised (and therefore expensive) training paradigms has restricted their …

    mit Repository record for Learning spoken language through vision (opens in a new tab)

  16. Modelling out-of-vocabulary words for robust speech recognition

    … of unknown or out-of-vocabulary (OOV) words in continuous speech recognition. Most of today's state-of-the-art speech recognition systems can recognize only words that belong to some predefined finite word vocabulary. When encountering an OOV word, a speech recognizer erroneously substitutes the …

    mit Repository record for Modelling out-of-vocabulary words for robust speech recognition (opens in a new tab)

  17. Comparisons of harmony and rhythm of Japanese and English through signal processing

    Japanese and English speech structures are different in terms of harmony, rhythm, and frequency of sound. Voice samples of 5 native speakers of English and Japanese were collected and analyzed through fast Fourier transform, autocorrelation, and statistical analysis. The harmony of language refers …

    mit Repository record for Comparisons of harmony and rhythm of Japanese and English through signal processing (opens in a new tab)

  18. 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

    de-montfort Repository record for Fractal based speech recognition and synthesis (opens in a new tab)

  19. Playing Monopoly: Actor/Manager Robert William Elliston (1774–1831) and the Struggle for a Free Stage in London 1802–32

    … of plays, and from employing ‘the spoken word’: continuous speech unaccompanied by music. ‘Minor’ theatres were restricted to exhibitions of movement, music, and rhyme, commonly termed ‘burletta’. By the early 1800s a consensus held the ‘patent’ regime responsible for degrading rather than …

    essex Repository record for Playing Monopoly: Actor/Manager Robert William Elliston (1774–1831) and the Struggle for a Free Stage in London 1802–32 (opens in a new tab)

  20. 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 …

    uiuc Repository record for Prosody Dependent Speech Recognition on American Radio News Speech (opens in a new tab)

Page 1 of 2