In order to effectively evaluate the accuracy of automatic speech recognition (ASR) with a novel capture device, it is important to create a realistic test data corpus that is representative of real-world noise conditions. Typically, this involves either recording the output of a device under test (DUT) in a noisy environment, or synthesizing an environment over loudspeakers in a way that simulates realistic signal-to-noise ratios (SNRs), reverberation times, and spatial noise distributions. Here we propose a method that aims at combining the realism of in-situ recordings with the convenience and repeatability of synthetic corpora. A device-independent spatial recording containing noise and speech is combined with the measured directivity pattern of a DUT to generate a synthetic test corpus for evaluating the performance of an ASR system. This is achieved by a spherical harmonic decomposition of both the sound field and the DUT’s directivity patterns. Experimental results suggest that the proposed method can be a viable alternative to costly and cumbersome device-dependent measurements. The proposed simulation method predicted the SNR of the DUT response to within about 3 dB and the word error rate (WER) to within about 20%, across a range of test SNRs, target source directions, and noise types.<\/p>\n","protected":false},"excerpt":{"rendered":"
In order to effectively evaluate the accuracy of automatic speech recognition (ASR) with a novel capture device, it is important to create a realistic test data corpus that is representative of real-world noise conditions. Typically, this involves either recording the output of a device under test (DUT) in a noisy environment, or synthesizing an environment […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proc. 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