Results 111 to 120 of about 3,612,587 (208)
LEARNING VECTOR QUANTIZATION FOR ADAPTED GAUSSIAN MIXTURE MODELS IN AUTOMATIC SPEAKER IDENTIFICATION [PDF]
Journal of Engineering Science and Technology, 2017 Speaker Identification (SI) aims at automatically identifying an individual by extracting and processing information from his/her voice. Speaker voice is a robust a biometric modality that has a strong impact in several application areas.
IMEN TRABELSI, MED SALIM BOUHLEL
doaj
Cepstral Coefficients Effectiveness for Gunshot Classifying [PDF]
This paper analyses the efficiency of various frequency cepstral coefficients (fCC) in a non-speech application, specifically in classifying acoustic impulse events - gunshots. There are various methods for such event identification available.
Holub J., Svatoš J.
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JURNAL TEKNIK INFORMATIKAThe development of information and communication technology today has had a significant impact on various aspects of life, including education. One notable example is the increasing number of applications designed for learning to recite the Quran with proper tartil. The growing trend of tahfidz (Quran memorization) is undoubtedly a positive development
Khodijah Hulliyah +5 more
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Feature Extraction of Isolated Gujarati Digits with Mel Frequency Cepstral Coefficients (MFCCs)
International Journal of Computer Applications, 2017 Miral Patel, Pooja Prajapati
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On Compensating the Mel-Frequency Cepstral Coefficients
, 2008 This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution mapping of cepstral coefficients with truncated Gaussian distribution ...
For Noisy Speech, Eric H. C. Choi
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Structural pests such as termites pose a serious threat to wooden household structures, often resulting in significant economic losses due to their covert and progressive damage. Traditional termite detection methods, including visual inspections and chemical treatments, are invasive, labor-intensive, and generally ineffective at identifying early ...
Manukalpa, Chan +3 more
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PENENTUAN LOKASI CHORUS PADA MUSIK MP3 MENGGUNAKAN KOEFIESIEN KORELASI 2-D PADA FRAME BERBASIS CIRI MEL-FREQUENCY CEPSTRAL COEFFISIENT (MFCC) [PDF]
, 2019 Pada perkembangan teknologi yang semakin pesat ini, kebutuhan manusia dalam mempermudah pencarian informasi semakin bertambah, terutama di dunia hiburan seperti musik. Maka dari itu dilakukanlah penelitian pada pengolahan sinyal informasi khususnya musik.
DINE OCTAVIA KUMALASARI
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Isolated english alphabet speech recogtion using wavelet cepstral, coefficients and neural network [PDF]
, 2014 Speech recognition has many applications in various fields. One of the most important phase in speech recognition is feature extraction. In feature extraction relevant important information from the speech signal are extracted.
Adam, Tarmizi
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JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 2023 I Dewa Made Bayu Atmaja Darmawan +5 more
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Sistem kendali yang sedang berkembang saat ini adalah sistem kendali menggunakan suara. Dengan pengenalan suara pengembangan teknik dan pembelajaran pada mesin atau komputer untuk dapat menerima masukan berupa kata maupun kalimat yang diucapkan ...
Adhadi, Kurniawan +2 more
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