Results 21 to 30 of about 22,343 (153)
Applied Computer Systems, 2022 The paper proposes a framework to record meeting to avoid hassle of writing points of meeting. Key components of framework are “Model Trainer” and “Meeting Recorder”.
Khan Isra +3 more
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Prediction method of operation state of mine belt conveyor
Gong-kuang zidonghua, 2022 The sensor monitoring data combined with neural network prediction model is the mainstream method of mine belt conveyor operation state prediction.
LI Jingzhao, SUN Jiechen, YE Tongzhou
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Multi-Accent Speaker Detection Using Normalize Feature MFCC Neural Network Method
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Speaker recognition is a field of research that continues to this day. Various methods have been developed to detect the human voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent recognition.
Kristiawan Nugroho +3 more
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Automatic Detection of Laryngeal Pathology on Sustained Vowels Using Short-Term Cepstral Parameters: Analysis of Performance and Theoretical Justification [PDF]
, 2008 The majority of speech signal analysis procedures for automatic detection of laryngeal pathologies mainly rely on parameters extracted from time domain processing.
B. Boyanov +11 more
core +2 more sources
Whispered Speech Conversion Based on the Inversion of Mel Frequency Cepstral Coefficient Features
Algorithms, 2022 A conversion method based on the inversion of Mel frequency cepstral coefficient (MFCC) features was proposed to convert whispered speech into normal speech.
Qiang Zhu +3 more
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The Intelligent Recognition of Speech Emotions: Survey Study [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2023 Speech emotion recognition (SER) is a challenging task in the field of artificial intelligence and machine learning. Over the years, researchers have proposed various approaches to recognize emotions from speech signals.
Ali Abdulwahhab Yehya al_saffar +1 more
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Synthetic speech detection and audio steganography in VoIP scenarios [PDF]
, 2016 The distinction between synthetic and human voice uses the techniques of the current biometric voice recognition systems, which prevent that a person’s voice, no matter if with good or bad intentions, can be confused with someone else’s.
Capolupo, Daniele, D'AMORE, Fabrizio
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Elektronika ir Elektrotechnika, 2020 This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from speech signals, and the other – our
Muhammet Pakyurek +3 more
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Fusion of Learned Multi-Modal Representations and Dense Trajectories for Emotional Analysis in Videos [PDF]
, 2015 When designing a video affective content analysis algorithm, one of the most important steps is the selection of discriminative features for the effective representation of video segments.
Acar, Esra +2 more
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Acoustic analysis of selected homographs for speech recognition systems [PDF]
International Journal of Electronics and TelecommunicationsThis paper presents an acoustic analysis of selected homographs in the context of automatic speech recognition (ASR) systems. The study focuses on the Polish words “Dania” (eng. Denmark) and “dania” (eng. meals), which, despite identical spelling, differ
Dominik Lentas, Michał Łuczyński
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