Vibha Viswanathan

Prediction from Statistical Learning Aids Auditory Scene Analysis

The paper shows that learned statistical regularities improve attentional selection of target sounds in noise through predictive processing and schema-based listening.

Impact of Reduced Spectral Resolution on Temporal-Coherence-Based Source Segregation

The paper investigates how reduced spectral resolution affects temporal-coherence-based source segregation and speech intelligibility in hearing-impaired listeners using cochlear implants.

Intracranial Mapping of Response Latencies and Task Effects for Spoken Syllable Processing in the Human Brain

This study uses intracranial recordings to map speech processing latencies and task effects across the human forebrain, revealing hierarchical and parallel information flow and task-related neural responses.

Induced Alpha And Beta Electroencephalographic Rhythms Covary With Single-Trial Speech Intelligibility In Competition

This study shows that induced alpha and beta brain rhythms correlate with single-trial speech intelligibility in noisy environments.

Web-based Psychoacoustics: Hearing Screening, Infrastructure, and Validation

This paper develops and validates a web-based platform for psychoacoustic experiments, showing agreement with lab-based results on multiple tasks.

Auditory cortical responses to speech are shaped by statistical learning of short-term speech input regularities

The paper investigates how auditory cortical responses to speech are influenced by short-term statistical learning of speech input regularities, showing that cortical responses adapt based on context and expectations.

Speech categorization reveals the role of early-stage temporal-coherence processing in auditory scene analysis

The paper shows that adding across-channel temporal-coherence processing improves predictions of consonant confusions in speech categorization, suggesting its role in speech understanding in noise.

Temporal fine structure influences voicing confusions for consonant identification in multi-talker babble

The paper investigates how temporal fine structure (TFS) affects consonant identification in multi-talker babble, finding that TFS conveys voicing information beyond what envelopes convey.

Modulation masking and fine structure shape neural envelope coding to predict speech intelligibility across diverse listening conditions

The paper investigates how neural envelope coding of speech is influenced by background sounds and acoustic features, showing that modulation masking and fine structure shape speech intelligibility across listening conditions.