Authors - Mohammed Mudassir, Irene Joseph, Jyothi Mandala, Sandeep J Abstract - This study introduces a Bidirectional Long Short-term Memory based multichannel speech enhancement framework that operates in the short-time Fourier transform domain using time-varying complex spectral masking. The pro-posed approach predicts channel-specific complex masks, allowing adaptive frame-wise suppression of noise in reverberant and multi-noise environments. A comprehensive dataset was created using multiple noise sources, and experiments were carried out at different signal-to-noise ratios. The proposed method outperformed the Relative Transfer Matrix and Deep Multichannel Active Noise Control techniques in perceptual speech quality and intelligibility across all test conditions, indicating its potential for real-world speech enhancement applications.
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