SVD-Based Optimal Filtering Technique for Noise Reduction in Hearing Aids Using Two Microphones
نویسندگان
چکیده
We introduce a new SVD-based (singular value decomposition) strategy for noise reduction in hearing aids. This technique is evaluated for noise reduction in a behind-the-ear (BTE) hearing aid where two omnidirectional microphones are mounted in an endfire configuration. The behaviour of the SVD-based technique is compared to a two-stage adaptive beamformer for hearing aids developed by Vanden Berghe and Wouters (1998). The evaluation and comparison is done with a performance metric based on the speech intelligibility index (SII). The speech and noise signals are recorded in reverberant conditions with a signal-to-noise ratio of 0 dB and the spectrum of the noise signals is similar to the spectrum of the speech signal. The SVD-based technique works without initialization nor assumptions about a look direction, unlike the two-stage adaptive beamformer. Still, for different noise scenarios, the SVD-based technique performs as well as the two-stage adaptive beamformer, for a similar filter length and adaptation time for the filter coefficients. In a diffuse noise scenario, the SVD-based technique performs better than the two-stage adaptive beamformer and hence provides a more flexible and robust solution under speaker position variations and reverberant conditions.
منابع مشابه
Acoustic Noise Reduction by Means of Qrd–based Unconstrained Optimal Filtering
We present a new QRD-based technique for optimal multichannel filtering and its application to multi–channel acoustic noise reduction. A recursively calculated adaptive filter optimally estimates the speech component in a noisy signal. The complexity of this algorithm is an order of magnitude than that of existing optimal filtering based algorithms which are mainly based upon SVD– decomposition...
متن کاملNoise reduction for "intelligent" hearing aids
One major problem of people with hearing impairment is the 'Coctail-Party-Effect', i.e., the reduced ability to understand speech in noisy environments. Normal hearing listeners use binaural information, i.e., interaural level and phase/time differences in addition to monaural cues to localize sound sources in the environment. Based on the localization result and on the monaural cues, the liste...
متن کاملRobustness of Svd-based Optimal Filtering for Noise Reduction in Multi-microphone Speech Signals
This paper discusses an SVD-based signal enhancement procedure, applied to noise reduction in multi-microphone speech signals. The SVD-based signal enhancement procedure amounts to a specific optimal filtering problem when the so-called ‘desired response’ signal cannot be observed. The optimal filter can then be written as a function of the generalized singular vectors and singular values of a ...
متن کاملSvd-based Optimal Filtering with Applications to Noise Reduction in Speech Signals
In this paper a class of SVD-based signal enhancement procedures is described, which amount to a specific optimal filtering technique for the case where the so-called ‘desired response’ signal cannot be observed. It is shown that this optimal filter can be written as a function of the generalized singular vectors and singular values of a so-called speech and noise data matrix. A number of simpl...
متن کاملEffect of two-microphone noise reduction on speech recognition by normal-hearing listeners.
An idealized 2-channel noise reducing adaptive filter of the type developed by Widrow requires that one channel contain noise only and that the microphones be fixed in position relative to the signal and noise sources. These conditions are unlikely to be met in a wearable hearing aid. In a typical situation, the microphones will be mounted in close proximity on a moving head in a room that is m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2002 شماره
صفحات -
تاریخ انتشار 2002