SPECTRO-TEMPORAL POST-FILTERING VIA SHORT-TIME TARGET CANCELLATION FOR DIRECTIONAL SPEECH ENHANCEMENT IN A DUAL-MICROPHONE HEARING AID
Marcos A Cantu (Carl von Ossietzky University of Oldenburg); Volker Hohmann (Carl von Ossietzky University of Oldenburg)
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The approach to directional speech enhancement described and evaluated herein involves combining adaptive beamforming and spatial spectro-temporal post-filtering using a small dual-microphone endfire array, as is used in modern digital hearing aids. An established and commonly used hearing aid algorithm is used for the adaptive beamforming while our Short-Time Target Cancellation (STTC) processing, which leverages the computational efficiency of the Short-Time Fourier Transform (STFT), is used for the post-filtering. Our STTC processing is notable for effecting real-time low-latency (≤20 ms) spatial spectro-temporal filtering with causal, efficient and minimalist STFT-based processing that has low requirements in terms of energy consumption, memory and computational power. The evaluation is carried out in both semi-anechoic and reverberant rooms using instrumental measures of speech enhancement. As demonstrated in this brief study, our STTC spatial spectro-temporal filtering can be implemented with hearing aid microphones and can be used to enhance established hearing aid processing.