Results 91 to 100 of about 3,612,587 (208)
CogITo Smart Journal, 2019 Human emotion recognition subject becomes important due to it's usability in daily lifestyle which requires human and computer interraction. Human emotion recognition is a complex problem due to the difference within custom tradition and specific dialect which exists on different ethnic, region and community.
Helmiyah, Siti +2 more
openaire +1 more source
ARO-The Scientific Journal of Koya UniversityDetecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza +1 more
doaj +1 more source
, 2016 Recognizing A speaker can simplify task of translating speech in systems that have been trained on specific person's voices or it can be used to the authenticate or verify the identity of a speaker as part of a security process. This work discusses Implementation of an Enhanced Speaker Recognition system using MFCC and the LBG Algorithm.
Arun Kumar Choudhary +1 more
openaire +2 more sources
MFCC: Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor [PDF]
The Mel-Frequency Cepstrum Coefficients (MFCC) core block is designed to extract features from voice signals with high efficiency. This technology is ideal for applications such as keyword spotting, speaker identification, and voice activity detection ...
Emery, Stéphane
core
, 2019 Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms ...
Kadiri, Sudarsana Reddy +3 more
core +1 more source
A Multi-Feature Fusion Approach for Dialect Identification using 1D CNN
JOIV: International Journal on Informatics VisualizationThe phonological variety of Kurdish, a language with several dialects, poses a distinct problem in automatically identifying dialects. This study examines and evaluates several sound criteria for identifying Kurdish dialects: Badini, Hawrami, and Sorani.
Sarkhel H.Taher Karim +3 more
doaj +1 more source
IEEE Access, 2019 Native language identification (NLI) is the task of identifying the first language of a user based on their speech or written text in a second language. In this paper, we propose the use of spectrogram- and cochleagram-based features extracted from very ...
Farah Adeeba, Sarmad Hussain
doaj +1 more source
Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]
Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
core +1 more source
Sensors, 2018 The analysis and classification of the sounds produced by certain animal species, notably anurans, have revealed these amphibians to be a potentially strong indicator of temperature fluctuations and therefore of the existence of climate change ...
Amalia Luque +3 more
doaj +1 more source
<p>For a project description please look at <a href="https://github.com/jasminsternkopf/mel_cepstral_distance">GitHub</a>/<a href="https://pypi.org/project/mel-cepstral-distance">PyPI</a>.</p ...
Taubert, Stefan, Sternkopf, Jasmin
core +1 more source