Paper Info
Title
Speech enhancement for hearing instruments: Enabling communication in adverse conditions
Abstract
Hearing instruments are frequently used in notoriously difficult acoustic scenarios. Even for normal-hearing people ambient noise, reverberation and echoes often contribute to a degraded communication experience. The impact of these factors becomes significantly more prominent when participants suffer from a hearing loss. Nevertheless, hearing instruments are frequently used in these adverse conditions and must enable effortless communication. In this talk I will discuss challenges that are encountered in acoustic signal processing for hearing instruments. While many algorithms are motivated by the quest for a cocktail party processor and by the high-level paradigms of auditory scene analysis a careful design of statistical models and processing schemes is necessary to achieve the required performance in real world applications. Rather strict requirements result from the size of the device, the power budget, and the admissable processing latency. Starting with low-latency spectral analysis and synthesis systems for speech and music signals I will continue highlighting statistical estimation and smoothing techniques for the enhancement of noisy speech. The talk emphasizes the necessity to find a good balance between temporal and spectral resolution, processing latency, and statistical estimation errors. It concludes with single and multi-channel speech enhancement examples and an outlook towards opportunities which reside in the use of comprehensive speech processing models and distributed resources.
Year
DOI
Venue
2013
10.1109/WASPAA.2013.6701897
Applications of Signal Processing to Audio and Acoustics
Keywords
Field
DocType
acoustic signal processing,echo,reverberation,smoothing methods,speech enhancement,statistical analysis,acoustic scenarios,acoustic signal processing,adverse conditions,ambient noise,auditory scene analysis,cocktail party processor,comprehensive speech processing models,echoes,hearing instruments,low-latency spectral analysis,multichannel speech enhancement,music signals,noisy speech enhancement,processing latency,reverberation,smoothing techniques,spectral resolution,speech signals,statistical estimation errors,statistical models,synthesis systems,temporal resolution
Speech enhancement,Speech processing,Signal processing,Auditory scene analysis,Computer science,Voice activity detection,Speech recognition,Smoothing,Hearing loss,Acoustics,Intelligibility (communication)
Conference
ISSN
Citations 
PageRank 
1931-1168
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Rainer Martin1102991.14