aphasia

Novoic's linguistic feature extraction library

Various speech assessments commonly used during post stroke aphasia research

SpeakEasy AAC - Free, open-source communication app for people with aphasia, stroke recovery, ALS, or speech difficulties. Tap pictures to speak. Customizable, works offline.

speech assistant for individuals suffering from Aphasia

Website scraped together from the clinicaltrials.gov API and some other R packages.

Waabi is an AI-powered robotic assistant that guides aphasia patients through speech therapy exercises at home, while giving therapists a portal to monitor progress and review session reports.

My grandma has aphasia, which means she struggles with pronouncing words. This website lists words and plays recordings of those words so that she can practice.

Clustering aphasic patients' linguistic production by computational means (Word2vec)

ClearSpeak is a simple AAC (Augmentative and Alternative Communication) web app designed to help stroke survivors and people with speech impairments communicate basic needs and phrases.

A patient-focused speech-to-intent assistive system designed for stroke/aphasia patients. The system converts short audio recordings into actionable intents, enabling caregivers to quickly understand and respond to patient needs.

The PNT is a 175-item picture naming test developed in the Language and Aphasia Lab of MRRI for the psycholinguistic exploration of lexical access in nonaphasic and aphasic speakers (Roach et al., 1996).

mainConcept is a web-app for scoring main concept analysis in aphasia and related disorders written in r {shiny}.

Semantic Cueing is a system which helps to provide a speech therapy to patients with cognitive disabilities.

Speech therapy trainer for aphasia rehabilitation. React + Vite + custom audio.

Seq2Seq model for translation of (Broca) aphasic sentences into english

Code for fine-tuned ASR Whisper Model for Chatphasia

An interactive AI-powered simulator built with React and FastAPI to help healthcare professionals practice communication with patients experiencing Broca's and Wernicke's aphasia.

Beta-version of R Shiny implementation of the computer-adaptive Philadelphia naming test (Roach et al., 1996) following item response theory.

Archived SwiftUI research prototype for prepared AAC phrases, Apple Personal Voice and wearable audio (ASSETS 2024).

All of it is for Corrections in Punjabi Alphabet, which is wrongly educated with Tainka Letter, while there is no such Akhara (Letter) as Tainka in the World, but rather it is Tatta as in Holy Shri Guru Granth Sahib Ji with following Simplified Research Report with Facebook Page Post Discussions: [1] Facebook Page Post: https://www.facebook.com/…