An individualized super-Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device
By Chandan K. A. Reddy, N. Shankar, G. Bhat, Ram Charan, I. Panahi. 2017
63 citations recorded by the source corpus.
In this letter, we derive a new super-Gaussian joint maximum a posteriori (SGJMAP) based single microphone speech enhancement gain function. The developed speech enhancement method is implemented on a smartphone, and this arrangement functions as an assistive device to hearing aids. We introduce a tradeoff parameter in the derived gain function that allows the smartphone user to customize their listening preference, by controlling the amount of noise suppression and speech distortion in real-time based on their level of hearing comfort perceived in noisy real-world acoustic environment. Objective quality and intelligibility measures show the effectiveness of the proposed method in comparison to benchmark techniques considered in this letter. Subjective results reflect the usefulness of the developed speech enhancement application in real-world noisy conditions at signal to noise ratio levels of –5, 0, and 5 dB.
Subfields: Cognitive Neuroscience, Computational Mechanics, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Vishak Gopal
- Ross Cutler
- Chandan K. A. Reddy
- Hannes Gamper
- Sebastian Braun
- Robert Aichner
- Harishchandra Dubey
- Sriram Srinivasan
In Computational Mechanics
- Vishak Gopal
- Ross Cutler
- Chandan K. A. Reddy
- Yossi Adi
- Robert Aichner
- Hannes Gamper
- Harishchandra Dubey
- Sebastian Braun
In Signal Processing
- Ross Cutler
- Vishak Gopal
- Chandan K. A. Reddy
- Robert Aichner
- Hannes Gamper
- Sebastian Braun
- Yossi Adi
- Harishchandra Dubey
Citations in the corpus
- Real Time Speech Enhancement in the Waveform Domain (2020, background): “Thus, speech enhancement is a particularly important task in itself for audio and video calls [1], hearing aids [2], and can also help automatic speech recognition (ASR) systems [3].”
- Interspeech 2021 Deep Noise Suppression Challenge (2021, background): “Real-time Speech Enhancement (SE) for perceptual quality is a decades old classical problem and researchers have proposed numerous solutions [1, 2].”
- ICASSP 2021 Deep Noise Suppression Challenge (2020, background): “Real-time Speech Enhancement (SE) for perceptual quality is a decades old classical problem and researchers have proposed numerous solutions [1, 2].”