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20182024
most citedAn individualized super Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device

68 citations · 180 across the 16 of their papers we have counts for

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9 papers · 1 filter

cs.SD2024★ 1 cited

Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearables

Artem Dementyev, Chandan K. A. Reddy, Scott Wisdom +3

Low latency models are critical for real-time speech enhancement applications, such as hearing aids and hearables. However, the sub-millisecond latency space for resource-constrain…

cs.SD2022

Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset

Michael Chinen, Jan Skoglund, Chandan K A Reddy +2

Non-reference speech quality models are important for a growing number of applications. The VoiceMOS 2022 challenge provided a dataset of synthetic voice conversion and text-to-spe…

cs.SD2021

Interspeech 2021 Deep Noise Suppression Challenge

Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida +7

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. We recently organized a…

cs.SD2020

DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressors

Chandan K A Reddy, Vishak Gopal, Ross Cutler

Human subjective evaluation is the gold standard to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores. The…

cs.SD2020★ 65 cited

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra Dubey +10

The INTERSPEECH 2020 Deep Noise Suppression Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subjective…

cs.SD2019★ 16 cited

A scalable noisy speech dataset and online subjective test framework

Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool +3

Background noise is a major source of quality impairments in Voice over Internet Protocol (VoIP) and Public Switched Telephone Network (PSTN) calls. Recent work shows the efficacy…

cs.SD2019

Supervised Classifiers for Audio Impairments with Noisy Labels

Chandan K A Reddy, Ross Cutler, Johannes Gehrke

Voice-over-Internet-Protocol (VoIP) calls are prone to various speech impairments due to environmental and network conditions resulting in bad user experience. A reliable audio imp…

cs.SD2018★ 68 cited

An individualized super Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device

Chandan K A Reddy, Nikhil Shankar, Gautam Bhat +2

In this letter, we derive a new super Gaussian Joint Maximum a Posteriori based single microphone speech enhancement gain function. The developed Speech Enhancement method is imple…

cs.SD2018

A Computationally Efficient and Practically Feasible Two Microphones Blind Speech Separation Method

Chandan K A Reddy, Gautam Bhat, Nikhil Shankar +1

Traditionally, Blind Speech Separation techniques are computationally expensive as they update the demixing matrix at every time frame index, making them impractical to use in many…