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[PDF] Top 20 Punjabi Automatic Speech Recognition Using HTK

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Punjabi Automatic Speech Recognition Using HTK

Punjabi Automatic Speech Recognition Using HTK

... [r] ... See full document

6

Improving speech recognition through automatic selection of age group – specific acoustic models

Improving speech recognition through automatic selection of age group – specific acoustic models

... The BD-PUBLICO Corpus contains newspaper sentences read out by 18-48-year- old speakers, i.e., young to middle-aged adults. The transcriptions in this corpus have not been verified manually or annotated for noises etc. ... See full document

13

A HYBRID METHOD FOR AUTOMATIC SPEECH RECOGNITION PERFORMANCE IMPROVEMENT IN REAL WORLD NOISY ENVIRONMENT

A HYBRID METHOD FOR AUTOMATIC SPEECH RECOGNITION PERFORMANCE IMPROVEMENT IN REAL WORLD NOISY ENVIRONMENT

... Next important task is feature extraction. Signal is windowed with a hamming window using a variable window length and the word is partitioned into small frames. The dimension of the frame is of variable size from ... See full document

11

Design Of An Automatic Speaker Recognition System Using MFCC, Vector Quantization And LBG Algorithm

Design Of An Automatic Speaker Recognition System Using MFCC, Vector Quantization And LBG Algorithm

... speaker recognition system is that of feature extraction and ...Speaker recognition methods can also be divided into text-independent and text-dependent ...somebody’s speech which show up ... See full document

13

One-against-all weighted dynamic time warping for language-independent and speaker-dependent speech recognition in adverse conditions.

One-against-all weighted dynamic time warping for language-independent and speaker-dependent speech recognition in adverse conditions.

... (SD) automatic speech recognition (ASR) is a promising option to solve the ...menu-driven recognition, and voice control on vehicles and ...clean speech data, speech ... See full document

9

A NOVEL WORD BOUNDARY DETECTOR BASED ON THE TEAGER ENERGY OPERATOR FOR AUTOMATIC SPEECH RECOGNITION IGOR SANTOS PERETTA

A NOVEL WORD BOUNDARY DETECTOR BASED ON THE TEAGER ENERGY OPERATOR FOR AUTOMATIC SPEECH RECOGNITION IGOR SANTOS PERETTA

... comparisons. Using regression fusion of boundary predictions, Mporas, Ganchev, and Fakotakis [47] have studied “the appropriateness of a number of linear and non-linear regression methods, employed on the task of ... See full document

125

Automatic Identification of Silence, Unvoiced and Voiced Chunks in Speech

Automatic Identification of Silence, Unvoiced and Voiced Chunks in Speech

... the speech signal into silence, voiced and unvoiced regions which are very beneficial in increasing the accuracy and performance of recognition ...of speech signal namely Zero Crossing Rate, Short ... See full document

10

Speech Recognition Technology for Hearing Disabled Community

Speech Recognition Technology for Hearing Disabled Community

... transforms speech to text using Automatic Speech Recognition (ASR) which is speaker ...converts speech into image which will help the hearing disabled community to have a better ... See full document

6

Robust Automatic Speech Recognition Features using Complex Wavelet Packet Transform Coefficients

Robust Automatic Speech Recognition Features using Complex Wavelet Packet Transform Coefficients

... true speech signal frequency ...in speech signal and additive noise (and distortion) from environment play major role in recognition mistakes (more noises frequency involved would generally cause ... See full document

12

Automatic Emotion Recognition in Speech: Possibilities and Significance

Automatic Emotion Recognition in Speech: Possibilities and Significance

... For the purposes of innovations in the previous chapter described measurement system is using multifunctional card – Humusoft MF 624. The card is especially adapted to the application of the control systems in ... See full document

64

Automatic Segmentation of Spontaneous Speech / Segmentação automática da fala espontânea

Automatic Segmentation of Spontaneous Speech / Segmentação automática da fala espontânea

... of speech data and must be statistically ...recorded speech sounds with their phonetic ...of speech data have to be highly ...of speech are to be segmented and ...Consequently, ... See full document

42

An enhanced speaker recognition system using a combined approach of speech signal and egg signal

An enhanced speaker recognition system using a combined approach of speech signal and egg signal

... A speech sample obtained from an unknown speaker acts as the input to the ...obtained speech signal is preprocessed sampling, filtering ...model using a suitable modeling technique (GMM, in our case) ... See full document

11

Automatic Speech Segmentation in French / Segmentação automática da fala em francês

Automatic Speech Segmentation in French / Segmentação automática da fala em francês

... spontaneous speech may also be taken into account in a top-down approach for prosodic segmentation, ...spontaneous speech eurhythmy proceeds by adjusting the average duration of accent phrases syllables to ... See full document

20

Braz. j. .  vol.79 número5

Braz. j. . vol.79 número5

... localization, speech recognition in noise, auditory performance with degraded or distorted acoustic speech signals, auditory performance in competing acoustic signals (including dichotic listening), ... See full document

1

Zonas mortas na cóclea em freqüências altas: implicações no processo de adaptação de prótese auditivas

Zonas mortas na cóclea em freqüências altas: implicações no processo de adaptação de prótese auditivas

... In audiology, sloping auditory sensorineural defi- ciency is the most common type/configuration of hearing loss associated with difficulty in understanding speech in noisy environments. Although hearing aids may ... See full document

9

ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES

ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES

... The Decision Tree is one of the most popular classification algorithms which are currently used in Data Mining and Machine Learning tasks. A decision tree works based on the hierarchical manner where the classification ... See full document

16

Braz. j. .  vol.76 número4 en v76n4a08

Braz. j. . vol.76 número4 en v76n4a08

... pattern recognition test; four-choice test; sentence recognition test (closed); sentence recognition test (open); monosyllable recognition test, and the use of ... See full document

4

CoDAS  vol.29 número1

CoDAS vol.29 número1

... a speech recognition tests can generally be carried out in two ways: search for the threshold or percentage of correct ...of speech recognition thresholds in the present ...of speech ... See full document

7

Rev. CEFAC  vol.17 número1

Rev. CEFAC vol.17 número1

... favor speech recognition in subjects with hearing loss in a downward sloping in general, regardless of whether or not they show ZMC (Tables 1 and ...and recognition of monosyllables, consonants, ... See full document

14

An evaluation of automatic speech recognition in the Spanish version of windows 7: effects of language variety, speaking style and gender

An evaluation of automatic speech recognition in the Spanish version of windows 7: effects of language variety, speaking style and gender

... where speech recognition applications are employed for automatic dialing, customer service, information enquiry, phone sales, ticket reservations, ...and automatic correction of pronunciation ... See full document

106

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