Factors that influence the performance of experienced speech recognition users.

Assist Technol

Koester Performance Research, Ann Arbor, Michigan, USA.

Published: July 2006

Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect of 20 different independent variables on recognition accuracy and text entry rate with ASR was measured using bivariate and multivariate analyses. The results show that use of appropriate correction strategies had the strongest influence on user performance with ASR. The amount of time the user spent on his or her computer, the user's manual typing speed, and the speed with which the ASR system recognized speech were all positively associated with better performance. The amount or perceived adequacy of ASR training did not have a significant impact on performance for this user group.

Download full-text PDF

Source
http://dx.doi.org/10.1080/10400435.2006.10131907DOI Listing

Publication Analysis

Top Keywords

speech recognition
8
users physical
8
physical disabilities
8
asr
6
performance
5
factors influence
4
influence performance
4
performance experienced
4
experienced speech
4
recognition users
4

Similar Publications

Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.

View Article and Find Full Text PDF

Polariton lattices as binarized neuromorphic networks.

Light Sci Appl

January 2025

Spin-Optics laboratory, St. Petersburg State University, St. Petersburg, 198504, Russia.

We introduce a novel neuromorphic network architecture based on a lattice of exciton-polariton condensates, intricately interconnected and energized through nonresonant optical pumping. The network employs a binary framework, where each neuron, facilitated by the spatial coherence of pairwise coupled condensates, performs binary operations. This coherence, emerging from the ballistic propagation of polaritons, ensures efficient, network-wide communication.

View Article and Find Full Text PDF

When listening to speech under adverse conditions, listeners compensate using neurocognitive resources. A clinically relevant form of adverse listening is listening through a cochlear implant (CI), which provides a spectrally degraded signal. CI listening is often simulated through noise-vocoding.

View Article and Find Full Text PDF

Background: Pediatric cochlear implant (CI) recipients with cochlear malformations face challenges due to variable speech recognition outcomes.

Aims/objectives: This study assesses the predictive value of intraoperative electrically evoked compound action potential (eCAP) thresholds, residual hearing, age at implantation, Intelligent Quotient (IQ), and malformation type for speech recognition outcomes.

Material And Methods: A prospective cohort of 52 children (aged 1-4 years) with cochlear malformations who underwent CI between 2016 and 2024 was analyzed.

View Article and Find Full Text PDF

Objectives: This study was designed to (1) compare preactivation and postactivation performance with a cochlear implant for children with functional preoperative low-frequency hearing, (2) compare outcomes of electric-acoustic stimulation (EAS) versus electric-only stimulation (ES) for children with versus without hearing preservation to understand the benefits of low-frequency acoustic cues, and (3) to investigate the relationship between postoperative acoustic hearing thresholds and performance.

Design: This was a prospective, 12-month between-subjects trial including 24 pediatric cochlear implant recipients with preoperative low-frequency functional hearing. Participant ages ranged from 5 to 17 years old.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!