Search · four archives

Results for speech classification

or ask it as a questionAsk the stacks →

ArchivesarXiv PubMed bioRxiv chemRxiv

WhenAny time Past month Past year Past 5 years

OrderMost relevant Most cited Newest

21 papers · ranked by Valyu relevance

01
BbioRxiv6 Mar 2026
Neural microstates underlying categorical speech perception using Bayesian non-parametrics
Sultan Mahmud, Nahid Hasan, Kelsey Mankel, Mohammed Yeasin + 1 more
Categorical perception (CP) reflects the human auditory system’s ability to map continuous acoustic signals onto discrete categories. Understanding the relationship between neural dynamics and perceptual decisions is central to speech–language processing. Here, we implemented a data-driven approach using Bayesian…
79relevance
02
PPubMed16 Apr 2024
A review of social background profiling of speakers from speech accents
Mohammad Ali Humayun, Junaid Shuja, Pg Emeroylariffion Abas, Syed Sajid Ullah
'Syed Sajid Ullah'] Social background profiling of speakers is heavily used in areas, such as, speech forensics, and tuning speech recognition for accuracy improvement. This article provides a survey of recent research in speaker background profiling in terms of accent classification and analyses the datasets, speech…
77relevance
03
BbioRxiv29 Jan 2023
Spectro-temporal acoustical markers differentiate speech from song across cultures
Philippe Albouy, Samuel A. Mehr, Roxane S. Hoyer, Jérémie Ginzburg + 1 more
Humans produce two primary forms of vocal communication: speaking and singing. What is the basis for these two categories? Is the distinction between them based primarily on culturally specific, learned features, or do consistent acoustical cues exist that reliably distinguish speech and song worldwide? Some studies…
76relevance
04
PPubMed25 Jul 2023
Speech emotion classification using attention based network and regularized feature selection
Samson Akinpelu, Serestina Viriri
Speech emotion classification (SEC) has gained the utmost height and occupied a conspicuous position within the research community in recent times. Its vital role in Human-Computer Interaction (HCI) and affective computing cannot be overemphasized. Many primitive algorithmic solutions and deep neural network (DNN)…
76relevance
05
BbioRxiv23 Mar 2022
Rethinking the Methods and Algorithms for Inner Speech Decoding - and Making them Reproducible
Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De + 1 more
This study focuses on the automatic decoding of inner speech using noninvasive methods, such as electroencephalography (EEG)). While inner speech has been a research topic in philosophy and psychology for half a century, recent attempts have been made to decode nonvoiced spoken words by using various brain-computer…
76relevance
06
PPubMed10 Nov 2022
Early detection of Parkinson’s disease from multiple signal speech: Based on Mandarin language dataset
Qiyue Wang, Yan Fu, Baiyu Shao, Le Chang + 3 more
'Yun Ling'] Parkinson’s disease (PD) is a neurodegenerative disorder that negatively affects millions of people. Early detection is of vital importance. As recent researches showed dysarthria level provides good indicators to the computer-assisted diagnosis and remote monitoring of patients at the early stages. It is…
74relevance
07
AarXiv2022
A Wavelet Transform Based Scheme to Extract Speech Pitch and Formant Frequencies
Mahdieh Ghazvini, Seyedamiryousef Hosseini Goki, Sajad Hamzenejadi
— Pitch and formant frequencies are important features in speech processing applications. The period of the vocal cord's output for vowels is known as the pitch or the fundamental frequency, and formant frequencies are essentially resonance frequencies of the vocal tract. These features vary among different persons and…
73relevance
08
AarXiv20 Jun 2026
DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification
Arnab Kumar Roy, Hemant Kumar Kathania, Paban Sapkota, Sudarsana Reddy Kadiri + 1 more
Dysarthric speech severity classification is challenging due to speaker variability, class imbalance, and limited datasets. This study introduces DSSCNet, a deep learning model that employs transfer learning and multi-corpus learning to enhance speaker-independent classification. By pre-training on one dysarthric…
73relevance
09
PPubMed16 Jun 2026
Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks
M. N. Renukadevi, T. M. Rajesh, S. G. Shaila, Praveen Kulkarni + 3 more
Speaker vocal delivery significantly impacts audience engagement in knowledge-sharing platforms like TED Talks. However, existing classification approaches face limitations in noise handling, feature extraction, and clustering robustness. The study investigates vocal behavior using a curated set of 5,000 TED Talk audio…
73relevance
10
AarXiv29 Dec 2024
Ensemble of classifiers for speech evaluation
G. A. Belokrylov, А. Коренев, B. Lodonova, A. Novokhrestov
The article describes an attempt to apply an ensemble of binary classifiers to solve the problem of speech assessment in medicine. A dataset was compiled based on quantitative and expert assessments of syllable pronunciation quality. Quantitative assessments of 7 selected metrics were used as features: dynamic time…
72relevance
11
BbioRxiv31 Jan 2026
The richness of little voices: using artificial intelligence to understand early language development
Mircea Petrache, Andrés Carvallo, Valentina Silva, Pablo Barceló + 1 more
How informative are preschoolers’ speech vocalizations? Preschoolers’ speech is often imprecise, highly variable and hard to interpret by humans and machines; consequently, its predictive value for later developmental outcomes remains quite underexplored. Here, we analyzed 6.595 brief vocalizations (0.5-5s) from 127…
71relevance
12
PPubMed9 Jul 2022
Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm
Guidong Bao, Mengchen Lin, Xiaoqian Sang, Yangcan Hou + 2 more
'Yunfeng Wu'] This article proposes a novel semi-supervised competitive learning (SSCL) algorithm for vocal pattern classifications in Parkinson’s disease (PD). The acoustic parameters of voice records were grouped into the families of jitter, shimmer, harmonic-to-noise, frequency, and nonlinear measures, respectively.…
70relevance
13
AarXiv1 Jul 2022
Deep-Learning-Based Automated Classification of Chinese Speech Sound Disorders
Yao-Ming Kuo, Shanq-Jang Ruan, Yu-Chin Chen, Ya‐Wen Tu
This article describes a system for analyzing acoustic data to assist in the diagnosis and classification of children's speech sound disorders (SSDs) using a computer. The analysis concentrated on identifying and categorizing four distinct types of Chinese SSDs. The study collected and generated a speech corpus…
69relevance
14
BbioRxiv21 Jan 2026
Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer’s Detection
M. Zakaria Kurdi
Early and accurate diagnosis of Alzheimer’s Disease (AD) is critical for effective intervention. While previous studies have explored speech-based biomarkers for AD, this paper presents the first systematic investigation of acoustic, prosodic, and phonological speech features for detecting this neurocognitive disorder.…
69relevance
15
AarXiv2023
RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction
Takahiro Fukumori, Taito Ishida, Yoichi Yamashita
The detection of shouted speech is crucial in audio surveillance and monitoring. Although it is desirable for a security system to be able to identify emergencies, existing corpora provide only a binary label (i.e., shouted or normal) for each speech sample, making it difficult to predict the shout intensity.…
69relevance
16
AarXiv3 Aug 2025
Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe
Kevin Huang, Anfeng Xu, Xuan Shi, Thanathai Lertpetchpun + 4 more
We present Voxlect, a novel benchmark for modeling dialects and regional languages worldwide using speech foundation models. Specifically, we report comprehensive benchmark evaluations on dialects and regional language varieties in English, Arabic, Mandarin and Cantonese, Tibetan, Indic languages, Thai, Spanish…
67relevance
17
PPubMed14 Sep 2022
Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies
Herath Mudiyanselage Dhammike Piyumal Madhurajith Herath, Weraniyagoda Arachchilage Sahanaka Anuththara Weraniyagoda, Rajapakshage Thilina Madhushan Rajapaksha, Patikiri Arachchige Don Shehan Nilmantha Wijesekara + 3 more
'Weraniyagoda Arachchilage Sahanaka Anuththara Weraniyagoda' 'Rajapakshage Thilina Madhushan Rajapaksha' 'Patikiri Arachchige Don Shehan Nilmantha Wijesekara' 'Kalupahana Liyanage Kushan Sudheera' 'Peter Han Joo Chong' 'Leon Rothkrantz'] Aphasia is a type of speech disorder that can cause speech defects in a person.…
67relevance
18
BbioRxiv15 Sep 2024
Unsupervised classification of graded animal vocalisations using fuzzy clustering
Benjamin Benti, Patrick JO Miller, Heike Vester, Florencia Noriega + 1 more
We present here an unsupervised procedure for the classification of graded animal vocalisations based on Mel frequency cepstral coefficients and fuzzy clustering. Cepstral coefficients compress information about the distribution of energy across the frequency spectrum into a reduced number of variables and are…
67relevance
19
PPubMed24 Oct 2022
Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm
Akmalbek Bobomirzaevich Abdusalomov, Furkat Safarov, Mekhriddin Rakhimov, Boburkhon Turaev + 2 more
'Mekhriddin Rakhimov' 'Boburkhon Turaev' 'Taeg Keun Whangbo' 'Paolo Bellavista'] Speech recognition refers to the capability of software or hardware to receive a speech signal, identify the speaker’s features in the speech signal, and recognize the speaker thereafter. In general, the speech recognition process involves…
66relevance
20
AarXiv2023
Speech Diarization and ASR with GMM
Aayush Kumar Sharma, Vineet Bhavikatti, Amogh Nidawani, Siddappaji + 2 more
'P Sanath' 'Dr Geetishree Mishra'] Abstract— In this research paper, we delve into the topics of Speech Diarization and Automatic Speech Recognition (ASR). Speech diarization involves the separation of individual speakers within an audio stream. By employing the ASR transcript, the diarization process aims to segregate…
65relevance
21
CchemRxiv17 Sep 2024
The generalisation challenge: assessment of the efficacy of acoustic signals for state estimation of lithium-ion batteries via machine learning
Authors not listed
Acoustic measurements of batteries are known to be correlated to their state-of-charge, creating opportunities for state estimation that do not rely on electrical signals. State estimators are typically parametric models fitted from data, often from the broad toolbox of machine learning. Such models can be easily…
59relevance

Results for speech classification

Neural microstates underlying categorical speech perception using Bayesian non-parametrics

A review of social background profiling of speakers from speech accents

Spectro-temporal acoustical markers differentiate speech from song across cultures

Speech emotion classification using attention based network and regularized feature selection

Rethinking the Methods and Algorithms for Inner Speech Decoding - and Making them Reproducible

Early detection of Parkinson’s disease from multiple signal speech: Based on Mandarin language dataset

A Wavelet Transform Based Scheme to Extract Speech Pitch and Formant Frequencies

DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification

Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks

Ensemble of classifiers for speech evaluation

The richness of little voices: using artificial intelligence to understand early language development

Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm

Deep-Learning-Based Automated Classification of Chinese Speech Sound Disorders

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer’s Detection

RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction

Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe

Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies

Unsupervised classification of graded animal vocalisations using fuzzy clustering

Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm

Speech Diarization and ASR with GMM

The generalisation challenge: assessment of the efficacy of acoustic signals for state estimation of lithium-ion batteries via machine learning

Neural microstates underlying categorical speech perception using Bayesian non-parametrics

A review of social background profiling of speakers from speech accents

Spectro-temporal acoustical markers differentiate speech from song across cultures

Speech emotion classification using attention based network and regularized feature selection

Rethinking the Methods and Algorithms for Inner Speech Decoding - and Making them Reproducible

Early detection of Parkinson’s disease from multiple signal speech: Based on Mandarin language dataset

A Wavelet Transform Based Scheme to Extract Speech Pitch and Formant Frequencies

DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification

Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks

Ensemble of classifiers for speech evaluation

The richness of little voices: using artificial intelligence to understand early language development

Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm

Deep-Learning-Based Automated Classification of Chinese Speech Sound Disorders

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer’s Detection

RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction

Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe

Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies

Unsupervised classification of graded animal vocalisations using fuzzy clustering

Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm

Speech Diarization and ASR with GMM

The generalisation challenge: assessment of the efficacy of acoustic signals for state estimation of lithium-ion batteries via machine learning