Audio Recognition with Graphical Interface-Based Model for Assisted Robotics
Advances in Electrical and Computer EngineeringThis paper presents an optimized audio recognition system designed for a personal database recorded in Romanian by both male and female voices, aiming to assist elderly individuals through integration with assistive robotics.
TELEMBICI, L., RUSU, C.
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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
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Multi Pattern Features-Based Spoofing Detection Mechanism Using One Class Learning
IEEE AccessAutomatic Speaker Verification systems are prone to various voice spoofing attacks such as replays, voice conversion (VC) and speech synthesis. Malicious users can perform specific tasks such as controlling the bank account of someone, taking control of ...
Beste Ustubioglu +5 more
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Drone Classification with a Hybrid Deep Learning Approach Based on Mel-Spectrogram Representation
With technological advancements, the use of drones has become increasingly widespread in both civilian and military sectors in recent years. There is a need for technologies that can detect and identify the presence, type, or flight mode of a drone with ...
Özbek, İbrahim Yücel +3 more
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Gender Recognition Based on the Stacking of Different Acoustic Features
Applied SciencesA speech signal can provide various information about a speaker, such as their gender, age, accent, and emotional state. The gender of the speaker is the most salient piece of information contained in the speech signal and is directly or indirectly used ...
Ergün Yücesoy
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Age Prediction from Korean Speech Data Using Neural Networks with Diverse Voice Features
Applied SciencesA person’s voice serves as an indicator of age, as it changes with anatomical and physiological influences throughout their life. Although age prediction is a subject of interest across various disciplines, age-prediction studies using Korean voices are ...
Hayeon Ku +4 more
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TranStutter: A Convolution-Free Transformer-Based Deep Learning Method to Classify Stuttered Speech Using 2D Mel-Spectrogram Visualization and Attention-Based Feature Representation. [PDF]
Sensors (Basel), 2023 Basak K, Mishra N, Chang HT.
europepmc +1 more source
ESTVocoder: An Excitation-Spectral-Transformed Neural Vocoder Conditioned on Mel Spectrogram
This paper proposes ESTVocoder, a novel excitation-spectral-transformed neural vocoder within the framework of source-filter theory. The ESTVocoder transforms the amplitude and phase spectra of the excitation into the corresponding speech amplitude and phase spectra using a neural filter whose backbone is ConvNeXt v2 blocks.
Xiao-Hang Jiang +4 more
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Active Defense Against Voice Conversion Through Generative Adversarial Network [PDF]
Active defense is an important approach to counter speech deepfakes that threaten individuals’ privacy, property, and reputation. However, the existing works in this field suffer from issues such as time-consuming and ordinary defense effectiveness. This
Zhao, Guoying +3 more
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Marine Mammal Call Classification Using a Multi-Scale Two-Channel Fusion Network (MT-Resformer)
Journal of Marine Science and EngineeringThe classification of high-frequency marine mammal vocalizations often faces challenges due to the limitations of acoustic features, which are sensitive to mid-to-low frequencies but offer low resolution in high-frequency ranges.
Xiang Li +6 more
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