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M-S Salam, Dzulkifli Mohamad, S-H Salleh Segmentation of ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This study present segmentation of syllables in Malay connected digit speech. Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm. These approaches basically detect abrupt changes of energy signal in order ......
(PDF) Brandt's GLR method & refined HMM segmentation for ...
This study present segmentation of syllables in Malay connected digit speech. Segmentation was done in time domain signal using statistical approaches namely the Brandt’s ......
CiteSeerX — M.S. Salam,
These insertion points dropped segmentation accuracy. Approach: This study proposed a fusion method between statistical and connectionist approaches namely the divergence algorithm and Multi Layer Perceptron (MLP) with adaptive learning for segmentation of Malay connected digit with the aim to improve statistical approach via detection of ......
Sheikh Hussain - Deputy Director Centre Biomedical ...
Syllable Segmentation in Malay Connected Digit Using Statistical Approach ... Lihat penerbitan. Syllable Segmentation in Malay Connected Digit Using Statistical Approach International Journal of Computer Science and Security 1 Januari 2008. Pengarang lain. ... Speaker Dependent Malay Connected Digit Speech Recognition Using Continuous Density ......
Music Training for the Development of Speech Segmentation ...
Here, we report results of a longitudinal study over 2 years using both behavioral and electrophysiological measures and a test-training-retest procedure to examine the influence of music training on speech segmentation in 8-year-old children.
Publications - Computing Artifact Learning Lab
Computing Artifact Learning Lab. Home. Research. People. Publications. News&Events. ... “Ensemble combination for solving the parameter selection problem in image segmentation,” in Structural, Syntactic, and Statistical Pattern ... “ Solving the Syllable Segmentation Problem in Connected-Thai-Digit Speech Recognition using Multiple ......
Continuous Speech - an overview | ScienceDirect Topics
S. Jothilakshmi, V.N. Gudivada, in Handbook of Statistics, 2016. 5.1 Non-Automatic Speech Recognizer Based Prosodic Feature Extraction. Commonly used speech cues are onset and offset of a syllable, and start and end of voicing. For extracting syllable-based prosodic features, the speech signal should be segmented into syllables....
Sojka P., Kopeček I., Pala K. (eds.) Text, Speech and Dialogue
Springer, 2006. 714 p. 9th International Conference, TSD 2006, Brno, Czech Republic, September 11-15, 2006 Proceedings. The annual Text, Speech and Dialogue Conference TSD , which originated in 1998, is now coming to the end of its first decade. During this time almost 400 authors from 36 countries...
A probabilistic framework for landmark detection based on ...
A probabilistic framework for a landmark-based approach to speech recognition is presented for obtaining multiple landmark sequences in continuous speech. The landmark detection module uses as input acoustic parameters (APs) that capture the acoustic correlates of some of the manner-based phonetic features. The landmarks include stop bursts, vowel onsets, syllabic peaks and dips, fricative ...
Nonword repetition and phoneme elision skills in school ...
Nonword repetition and phoneme elision represent the combined influence of several speech and language processes. In the present study, we investigated nonword repetition and phoneme elision performance in school-age CWS and CNS. Participants were 14 CWS (M = 11.7 years, SD = 2.1) and age- and sex-matched CNS (M = 11.8 years, SD = 2.0).
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