Time-Domain Beamforming and Blind Source Separation: Speech Input in the Car Environment
Product Description
Speech is a natural and therefore privileged communication modality. Safety and convenience issues require hands-free, eyes-free speech-based human-computer interfaces to manipulate complex functionalities and devices. For example, in cars, applications include entertainment, telephony as well as more advanced functions such as automatic spoken language dialog systems for in-vehicle navigation.
With a seamless speech input, such interfaces bring an increased comfort but have to face several issues: degradation of the signal-to-noise ratio (SNR) at the microphone, reverberated speech signal, and, above all, the presence of interferences. The interferences, such as speech from the co-driver, can greatly hamper the performance of the speech recognition component, which is crucial for dialog applications. Especially for overlaid speech, the separation of the target speaker from the interferer represent a particular challenge.
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