Results 121 to 130 of about 3,612,587 (208)

Biologically inspired emotion recognition from speech

EURASIP Journal on Advances in Signal Processing, 2011
Emotion recognition has become a fundamental task in human-computer interaction systems. In this article, we propose an emotion recognition approach based on biologically inspired methods.
Buscicchio Cosimo, Caponetti Laura, Castellano Giovanna   +2 more
doaj  

Sistem Cerdas Untuk Memprediksi Chords Gitar Dari Lagu Mp3 Dengan Metode Mel-frequency Cepstral Coefficients

, 2010
This study aims to identify and find the key tone of the song using extraksi cord mp3. An application that serves to extract the key songs on the guitar tune, so that will generate the key (Cord) tone that represents the humming.
Hidayat, R. (Rachmat)
core  

Simulasi Control Smart Home berbasis Mel Frequency Cepstral Coefficients menggunakan metode Support Vector Machine (SVM)

, 2020
Sistem control smart home telah banyak diimplementasikan dalam kehidupan. Akan tetapi sistem yang ada belum dapat mengenali biometrik berupa suara. Untuk mengenali sebuah suara diperlukan metode ekstraksi dan algoritma klasifikasi.
Fauzi, Arif Rahman
core  

Non-Invasive Voice-Based Early Detection of Parkinson's Disease via Spectral Feature Analysis and Machine Learning Techniques. [PDF]

Bioengineering (Basel)
Varela-Arellano YO, Soto-Murillo MA, Alcalá-Ramírez V, Villagrana-Bañuelos KE, Salas-Rodriguez LR, Cepeda-Argüelles A, Villagrana-Bañuelos R, Galván-Tejada JI, Arceo-Olague JG, Galván-Tejada CE.   +9 more
europepmc   +1 more source

Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]

Neurol Int
Hossain MA, Traini E, Amenta F.
europepmc   +1 more source

A multimodal feature fusion model integrating voice acoustic features and early key risk factors for early screening of postpartum depression: a prospective short-term longitudinal observational study. [PDF]

Front Public Health
Han X, Yue C, Zhang X, Ji X, Lin S, Chen M, Wang X, Zhang Y, Xu W, Liu Y, Li H.   +10 more
europepmc   +1 more source

Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]

Appl Phys B
Saha T, Thomas BP.
europepmc   +1 more source

Dual-branch hierarchical fusion network for voice-based classification of type 2 diabetes mellitus using multi-vowel acoustic features. [PDF]

Front Med Technol
Jiang P, Zhang W, Li A, Li P.
europepmc   +1 more source

Multi-QuadEmoNet: cat and dog emotion classification model from animal vocalization using multi-stage LSTM-GRU paradigm. [PDF]

Front Vet Sci
Pearline SSRA, Subbiah G, Sanu A, Charumathi Venkatesan K.   +3 more
europepmc   +1 more source

APLIKASI SPEECH TO TEXT BERBAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS DAN HIDDEN MARKOV MODEL (HMM) [PDF]

Dalam menyampaikan informasi. Informasi dapat disampaikan dalam bentuk teks, citra, suara, dan lain-lain. Pemakaian teknologi komputer untuk menjalin komunikasi manusia dengan komputer sudah menjadi suatu kebutuhan, jika komputer mengerti ucapan yang
Widiyanto, Eko, Endah, Sukmawati Nur, Sutikno, Sutikno, Adhy, Satriyo   +3 more
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