Objective: To validate the Russian matrix sentence test (RUMatrix) for the assessment of speech recognition in quiet and in noise in clinical praxis. The effect of hearing impairment, age, and masking-noise level on speech recognition was examined.
Design: All participants underwent pure tone audiometry, a monosyllabic speech test in quiet, and speech recognition measurements with RUMatrix in quiet (SRT) and in noise (SRT).
Study Sample: One hundred and forty-two listeners divided into four groups: 1. Young normal-hearing listeners, 2. Older normal-hearing listeners, 3. Young hearing-impaired listeners, and 4. Older hearing-impaired listeners.
Results: Significant differences between groups of listeners were found in the SRT and SRT. A strong correlation between hearing threshold and SRT (R=0.88, < 0.001) indicates a strong link between speech recognition in quiet and audibility. The pure-tone average explained less variance in SRT (R=0.67, < 0.001), pointing out an additional influence of suprathreshold distortion. A high test sensitivity of 0.99 was found for SRT and SRT. The monosyllabic test had a low sensitivity (0.21), indicating that the test is not suitable for separating normal-hearing and hearing-impaired listeners.
Conclusions: RuMatrix is a reliable speech recognition assessment tool with a high sensitivity and validity for the main aspects of hearing impairment.
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http://dx.doi.org/10.1080/14992027.2020.1806368 | DOI Listing |
Plast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
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 PDFLight 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 PDFTrends Hear
January 2025
Department of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
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 PDFActa Otolaryngol
January 2025
Neuro-Otology, Department of Neurosurgery, SGPGIMS, Lucknow, Uttar Pradesh, India.
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.
Ear Hear
January 2025
Department of Otolaryngology/Head & Neck Surgery, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
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.
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