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Analyzing analytical methods: The case of phonology in neural models of spoken language
[article]
2020
arXiv
pre-print
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We use two commonly applied analytical techniques, diagnostic classifiers and representational similarity analysis, to quantify to what extent neural activation patterns encode phonemes and phoneme sequences ...
local-scope diagnostic methods. ...
Others predominantly use diagnostic classifiers for phoneme and grapheme classification from neural representations of speech. ...
arXiv:2004.07070v2
fatcat:a43fku5hrzfcfa2mqewbimrwh4
An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model
2022
Journal of Electrical and Computer Engineering
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Mel cepstral coefficient (MFCC) is used for feature extraction, and principal component analysis (PCA) is used for dimensionality reduction of feature data. ...
The experimental structure demonstrates that by using a combination classification framework based on MFCC, PCA, and RF, the learner's pronunciation difficulty may be resolved. ...
Speech Signal Processing Method. ere are many categories of speech recognition systems based on different classifications, such as isolated word or continuous speech recognition, speaker-specific and speaker-nonspecific ...
doi:10.1155/2022/6011993
fatcat:taxj3puvk5hxdfmlwkmof3obde
"The Diagnostic Evaluation of Switchboard-corpus Automatic Speech Recognition Systems"
2021
International Journal of Innovative Research in Computer Science & Technology
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The decision trees show that correct categorization of phonetic segments and characteristics is one of the most constant variables linked with better recognition performance. ...
recognition systems. ...
projection with a smaller dimension. a certain speaker Acoustic voice recognition is used by the majority of speech recognition systems [8] . ...
doi:10.55524/ijircst.2021.9.6.5
fatcat:btg6zz6tqfbknacbfb3wkkhmu4
Automatic detection of articulation disorders in children with cleft lip and palate
2009
Journal of the Acoustical Society of America
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To create a reference for an automatic system, speech data of 58 children with CLP were assessed perceptually by experienced speech therapists for characteristic phonetic disorders at the phoneme level ...
Speech of children with cleft lip and palate ͑CLP͒ is sometimes still disordered even after adequate surgical and nonsurgical therapies. ...
Ulrike Wohlleben, Andrea Schädel, and Dorothee Großmann for the expert's annotation of the data. ...
doi:10.1121/1.3216913
pmid:19894838
fatcat:ufz4hkqdybehzg2s452gyud2dy
Phone Duration Modeling for Speaker Age Estimation in Children
[article]
2021
arXiv
pre-print
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Statistical functionals are computed from phone duration distributions for each phoneme which are in turn used to train regression models to predict speaker age. ...
Experimental results suggest phone durations contain important development-related information of children. Phonemes contributing most to estimation of children speaker age are analyzed and presented. ...
Whereas, the decision tree based AdaBoost model has the benefit of providing feature importance which helps us analyze the contributions of phonemes and their discriminative power towards age estimation ...
arXiv:2109.01568v1
fatcat:4tskn743xngurbreotj2n2nvla
Learning diagnostic models using speech and language measures
2008
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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We describe results that show the effectiveness of machine learning in the automatic diagnosis of certain neurodegenerative diseases, several of which alter speech and language production. ...
From this data, we extracted features of the audio signal and the words the patient used, which were obtained using our automated transcription technologies. ...
From this data, we extracted features of the audio signal and the words the patient used, which were obtained using our automatic speech recognition (ASR) algorithms, our phoneme duration measurement tools ...
doi:10.1109/iembs.2008.4650249
pmid:19163752
fatcat:we3guradxzhddjgowadzw6opqe
Discrete representations in neural models of spoken language
[article]
2021
arXiv
pre-print
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While we can attribute them to the properties of the different metrics in most cases, one point of concern remains: the use of minimal pairs of phoneme triples as stimuli disadvantages larger discrete ...
We compare the merits of four commonly used metrics in the context of weakly supervised models of spoken language. ...
We would also like to thank multiple anonymous reviewers for their useful comments which helped us improve this paper. ...
arXiv:2105.05582v2
fatcat:oylbownbbzbrracnzfe7eodcbi
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees
2016
Interspeech 2016
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We propose a novel decision tree based framework to detect phonetic mispronunciations produced by L2 learners caused by using inaccurate speech attributes, such as manner and place of articulation. ...
and vowels are produced using related articulators, can be provided to the L2 learners; and (3) by building the phone-dependent decision tree, the relative importance of the speech attribute features ...
Speech Attribute Classification System Setup The input feature (see Figure 1 ) is a window of 11 speech frames, each includes a 39-dim MFCC+Δ+ΔΔ vector. ...
doi:10.21437/interspeech.2016-517
dblp:conf/interspeech/LiLSCL16
fatcat:feca2njtazcgdkyapusxfillqq
Acoustic-Based Articulatory Phenotypes of Amyotrophic Lateral Sclerosis and Parkinson's Disease: Towards an Interpretable, Hypothesis-Driven Framework of Motor Control
2020
Interspeech 2020
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The use of interpretable, hypothesis-driven features has the potential to inform impairment-based automatic speech recognition (ASR) models and improve classification algorithms for disorders with divergent ...
With additional research, articulatory phenotypes characterized using this framework may lead to advancements in ASR for dysarthric speech and diagnostic accuracy at different disease stages for individuals ...
Data classification was also performed using ensemble decision trees with leave-one-out cross-validation (subsampling). ...
doi:10.21437/interspeech.2020-1459
dblp:conf/interspeech/RoweGMG20
fatcat:r4nywsjzrzcndgrce7pgajrxhi
An Arabic Mispronunciation Detection System Based on the Frequency of Mistakes for Asian Speakers
2021
Mehran University Research Journal of Engineering and Technology
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We use the Support Vector Machine (SVM) classifier and test the results on the Arabic dataset (28 Phonemes). The performance of our proposed method is evaluated by using accuracy. ...
We consider mispronunciation detection as a classification problem, traditionally for this purpose, a separate classifier is trained for each phoneme mistake that requires a lot of memory and time. ...
Tabassam Nawaz, Chairman, and Associate Professor of the Software Engineering Department, University of Engineering and Technology, Taxila, Pakistan for providing the cooperative environment and infrastructure ...
doi:10.22581/muet1982.2102.03
fatcat:pffogp7thna4fh3xl275ptvtwa
Language in Amnestic Mild Cognitive Impairment and Dementia of Alzheimer's Type: Quantitatively or Qualitatively Different?
2019
Dementia and Geriatric Cognitive Disorders Extra
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diagnostic entity or represent two distinct cognitive disorders. ...
Conclusion: Language tests provide an important contribution to the diagnostic process in their capacity to identify language impairments at an early stage. ...
In addition, information pertaining to motor speech (such as presence of apraxia or dysarthria) and the use of correct syntax in spontaneous speech was extracted from speech-language pathology reports. ...
doi:10.1159/000496824
fatcat:f3a5p3ntezgqpb4qc2xekef5va
Description and distribution of the subtypes of chronic schizophrenia based on Leonhard's classification
1984
Psychiatric developments
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With the recognition of neuroleptic response heterogeneity, and of the hazards of long-term neuroleptic administration, interest in subtype classification such as that of Leonhard has grown. ...
Prior to the introduction of neuroleptics a lack of interest in complex classifications of the chronic schizophrenias was due to the lack of effective treatment. ...
With the recognition of neuroleptic response heterogeneity, and of the hazards of long-term neuroleptic administration, interest in subtype classification such as that of Leonhard has grown. ...
pmid:6514708
fatcat:ftjej2jtgzbrjbavtdnoddne7i
A Novel Method for Feature Extraction in Vocal Fold Pathology Diagnosis
[chapter]
2013
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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While the second stage implies a choice of a variety of machine learning methods, the first stage plays a critical role in performance of the classification system. ...
Support vector machine is used as a classifier for evaluating the performance of our proposed method. The results show the priority of the proposed method in comparison with other methods. ...
This work was supported by the speech laboratory of NASB in Belarus. ...
doi:10.1007/978-3-642-37893-5_11
fatcat:n3jis4zxcraardonavsjcdugou
TOWARD AN UNDERSTANDING OF THE ROLE OF SPEECH RECOGNITION IN NONNATIVE SPEECH ASSESSMENT
2007
ETS Research Report Series
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In this investigation, we evaluated the feasibility of using an off-the-shelf speech-recognition system for scoring speaking prompts from the LanguEdge field test of 2002. ...
We then adapted a speech engine to the language backgrounds and proficiency ranges of the speakers and developed a classification and regression tree (CART) for each of five prompts based on features computed ...
The tree was then validated on a portion of the sample that had not been used in estimating the classification trees. ...
doi:10.1002/j.2333-8504.2007.tb02044.x
fatcat:tsnlv5zc3bhr5bxf3ghz5uitrm
Libri
1987
Phonetica: International Journal of Phonetic Science
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One of the more recent classifications of speech sounds by Lade-foged [1975] relies heavily on Pike. ...
very useful in a description of phones and phonemes in terms of mono-and polysegmentality. ...
doi:10.1159/000261779
fatcat:63dobj5fmnc3jfnmw5hwui3od4
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