Analisis Akurasi dan Waktu Proses Deteksi Sentimen Menggunakan Image Mel-Spectrogram
Techno.ComDalam upaya meningkatkan interaksi manusia-mesin, penelitian deteksi sentimen sudah banyak dilakukan peneliti untuk tujuan tersebut. Seiring dengan berkembangnya Mesin Pembelajaran, penelitian ini akan membandingkan kemampuan empat model klasifikasi ...
Jutono Gondohanindijo
doaj +3 more sources
Micromachines, 2021 This study compared popular Deep Learning (DL) architectures to classify machining surface roughness using sound and force data. The DL architectures considered in this study include Multi-Layer Perceptron (MLP), Convolution Neural Network (CNN), Long ...
Binayak Bhandari
doaj +2 more sources
ConvConcatNet: A Deep Convolutional Neural Network to Reconstruct Mel Spectrogram from the EEG [PDF]
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)To investigate the processing of speech in the brain, simple linear models are commonly used to establish a relationship between brain signals and speech features.
Xiran Xu +6 more
semanticscholar +3 more sources
ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 In recent text-to-speech synthesis and voice conversion systems, a mel-spectrogram is commonly applied as an intermediate representation, and the necessity for a mel-spectrogram vocoder is increasing.
Takuhiro Kaneko +2 more
exaly +2 more sources
Acoustic Signatures of Hive: Detecting Queen Bee Absence Through Machine Learning of Short Audio Segments [PDF]
InsectsHoneybee population decline poses a serious threat to global biodiversity and agricultural productivity, underscoring the need for continuous and non-invasive hive monitoring solutions.
Pablo Ormeño-Arriagada +4 more
doaj +2 more sources
A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study [PDF]
JMIR Medical InformaticsBackgroundParkinson disease frequently manifests early vocal impairment, motivating the development of noninvasive and scalable digital screening tools.
Arifa Zahir +5 more
doaj +2 more sources
Enhancing Embedded Space with Low–Level Features for Speech Emotion Recognition
Applied SciencesThis work proposes an approach that uses a feature space by combining the representation obtained in the unsupervised learning process and manually selected features defining the prosody of the utterances.
Lukasz Smietanka, Tomasz Maka
doaj +2 more sources
Journal of King Saud University: Computer and Information SciencesLung auscultation is essential for early lung condition detection. Categorizing adventitious lung sounds requires expert discrimination by medical specialists.
Fan Wang, Xiaochen Yuan, Yue Liu, C. Lam
semanticscholar +2 more sources
Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model [PDF]
Frontiers in PhysiologyIntroductionSnoring is a common symptom of Obstructive Sleep Apnea (OSA) and has also been associated with an elevated risk of cerebrovascular disease. However, existing snoring detection studies predominantly focus on individuals with Obstructive Sleep ...
Caijian Hua +4 more
doaj +2 more sources
MelHuBERT: A Simplified Hubert on Mel Spectrograms [PDF]
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023 ASRU ...
Lin, Tzu-Quan +2 more
openaire +2 more sources