Utilization of the Lombard effect in post-filtering for intelligibility enhancement of telephone speech
نویسندگان
چکیده
Post-filtering methods are used in mobile communications to improve the quality and intelligibility of speech. This paper introduces a noise-adaptive post-filtering algorithm that models the spectral effects observed in natural Lombard speech. The proposed method and another post-filtering technique were compared to unprocessed speech and natural Lombard speech in subjective listening tests in terms of intelligibility and quality. The results indicate that the proposed method outperforms the reference method in difficult noise conditions.
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