Speech Language Pathologist

Speech-language pathologists (SLPs) diagnose and treat communication disorders, a field currently undergoing significant advancements through AI-driven tools. Research focuses on developing automated systems for detecting and classifying various speech disorders like stuttering, dysarthria, and aphasia, leveraging machine learning models such as transformers, perceivers, and self-supervised speech models to analyze acoustic features and improve diagnostic accuracy and efficiency. These advancements aim to enhance the efficiency and objectivity of SLP assessments, potentially expanding access to timely and effective interventions for individuals with communication difficulties.

Papers

September 16, 2024

Self-supervised Speech Models for Word-Level Stuttered Speech Detection
Yi-Jen Shih, Zoi Gkalitsiou, Alexandros G. Dimakis, David Harwath
Self Supervised Speech Model Speech Detection Stuttering Sub Challenge Speech Language Pathologist

June 10, 2024

Quantifying the effect of speech pathology on automatic and human speaker verification
Bence Mark Halpern, Thomas Tienkamp, Wen-Chin Huang, Lester Phillip Violeta, Teja Rebernik, Sebastiaan de Visscher, Max Witjes, Martijn Wieling, Defne Abur, Tomoki Toda
Mixed Effect Speech Analysis Severity Prediction Speaker Similarity Language Disorder Speech Language Pathologist

October 16, 2023

Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model
Hagen Soltau, Izhak Shafran, Alex Ottenwess, Joseph R. JR Duffy, Rene L. Utianski, Leland R. Barnard, John L. Stricker, Daniela Wiepert, David T. Jones, Hugo Botha
Automatic Speech Recognition Class Representation Universal Speech Model Speech Language Pathologist Sequence Classifier

October 11, 2023

Classification of Dysarthria based on the Levels of Severity. A Systematic Review
Afnan Al-Ali, Somaya Al-Maadeed, Moutaz Saleh, Rani Chinnappa Naidu, Zachariah C Alex, Prakash Ramachandran, Rajeev Khoodeeram, Rajesh Kumar M
Classification Code Systematic Review Severity Prediction Different Level Hypokinetic Dysarthria Speech Language Pathologist

August 9, 2023

Automatically measuring speech fluency in people with aphasia: first achievements using read-speech data
Lionel Fontan, Typhanie Prince, Aleksandra Nowakowska, Halima Sahraoui, Silvia Martinez-Ferreiro
Person Name Speech Data Speech Language Pathologist Speech Fluency Fluency Assessment Aphasia Type

May 29, 2023

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song
Shot Learning Prompt Learning Multiple Instance Learning Instance Level Shot Scenario Prompt Based Few Shot Speech Language Pathologist

May 23, 2023

HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations
Anthony Sicilia, Jennifer C. Gates, Malihe Alikhani
Language Model Constructive Approach Large Pre Trained Language Model Human Machine Demographic Attribute Linguistic Competence Speech Language Pathologist Dialogue Goal

November 12, 2022

Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings
Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow, Gasser Elbanna, Milos Cernak
Speech Quality Speech Language Pathologist Speech Quality Prediction

May 24, 2022

Deep Learning-based automated classification of Chinese Speech Sound Disorders
Yao-Ming Kuo, Shanq-Jang Ruan, Yu-Chin Chen, Ya-Wen Tu
Mel Frequency Cepstral Coefficient Acoustic Data Learning Based Classification Speech Sound Disorder Speech Language Pathologist Speech Component

April 21, 2022

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review
Chinmoy Deka, Abhishek Shrivastava, Ajish K. Abraham, Saurabh Nautiyal, Praveen Chauhan
Person Name Systematic Literature Review Speech Sound Disorder Speech Language Pathologist

April 13, 2022

The effect of speech pathology on automatic speaker verification -- a large-scale study
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
Mixed Effect Speaker Verification Language Disorder Pathological Speech Speech Language Pathologist

April 7, 2022

Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0
Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Korbinian Riedhammer
Speech Recognition System Stuttering Sub Challenge Speech Language Pathologist

April 4, 2022

Robust Stuttering Detection via Multi-task and Adversarial Learning
Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
Multi Task Adversarial Learning Stuttering Sub Challenge Speech Language Pathologist Disfluency Generation

Speech Language Pathologist

Papers

Self-supervised Speech Models for Word-Level Stuttered Speech Detection

Quantifying the effect of speech pathology on automatic and human speaker verification

Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model

Classification of Dysarthria based on the Levels of Severity. A Systematic Review

Automatically measuring speech fluency in people with aphasia: first achievements using read-speech data

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations

Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings

Deep Learning-based automated classification of Chinese Speech Sound Disorders

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

The effect of speech pathology on automatic speaker verification -- a large-scale study

Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0

Robust Stuttering Detection via Multi-task and Adversarial Learning