Papers Vowel Classification
“Vowel Classification” 태그가 달린 논문 7편 · 필터 해제
Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification
This study investigates discriminative patterns learned by neural networks for accurate speech classification, with a specific focus on vowel classification tasks. By examining the activations and features of neural netw…
Classificationspeech-recognitionSpeech RecognitionVowel ClassificationScaling on-chip photonic neural processors using arbitrarily programmable wave propagation
On-chip photonic processors for neural networks have potential benefits in both speed and energy efficiency but have not yet reached the scale at which they can outperform electronic processors. The dominant paradigm for…
Vowel ClassificationToward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels
Psychomotor retardation associated with depression has been linked with tangible differences in vowel production. This paper investigates a knowledge-driven machine learning (ML) method that integrates spectrotemporal in…
Vowel ClassificationWave Physics as an Analog Recurrent Neural Network
Analog machine learning hardware platforms promise to be faster and more energy-efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural candidate for building analog proces…
BIG-bench Machine LearningVowel ClassificationIntrinsic normalization and extrinsic denormalization of formant data of vowels
Using a known speaker-intrinsic normalization procedure, formant data are scaled by the reciprocal of the geometric mean of the first three formant frequencies. This reduces the influence of the talker but results in a d…
General ClassificationVowel ClassificationImagined speech classification using EEG
The objective of this work is to assess the possibility of using (Electroencephalogram) EEG for communication between different subjects. Here EEG signals are recorded from 13 subjects by inducing the subjects to imagine…
ClassificationEEGEEG Signal ClassificationElectroencephalogram (EEG)+1Learning An Invariant Speech Representation
Recognition of speech, and in particular the ability to generalize and learn from small sets of labelled examples like humans do, depends on an appropriate representation of the acoustic input. We formulate the problem o…
General ClassificationSound ClassificationVowel Classification