Analysis Discrete Hartley Transform for the recognition of female voice based on voice register in singing techniques

Automatic speech recognition is the ability to receive and identify spoken words by converting analog signals to digital and extracting unique vocal characteristics such as pitch, frequency, tone, and rhythm to form speaker models or sound samples. The voice sample used is the voice register, the vo...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1361; no. 1; pp. 12039 - 12046
Main Authors Muhathir, Muliono, R, Khairina, N, Harahap, M K, Putri, S M
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.11.2019
Subjects
Acoustic frequencies
Automatic speech recognition
DHT
High Pass Filter
High pass filters
Low Pass Filter
Low pass filters
Physics
Pitch
Rhythm
Signal classification
Singing
Sound
Speech recognition
Tone
Voice recognition
Voice Register
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Summary:Automatic speech recognition is the ability to receive and identify spoken words by converting analog signals to digital and extracting unique vocal characteristics such as pitch, frequency, tone, and rhythm to form speaker models or sound samples. The voice sample used is the voice register, the voice register is the division of the area of the human voice based on the source of the sound, the sensation of the resonant space, shape, color, sound timbre, and the high and low tone produced. Discrete Hartley Transform is used as a transformation to process the sound sample to be classified. DHT, DHT + High Pass Filter and DHT + Low Pass Filter in transforming voice register signals can only classify with an average true positive rate of 69.67%. The addition of the filter does not affect the classification results because the sound frequency used is in ideal conditions so that there is no noise that affects the classification results of the voice register.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1361/1/012039