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eess.AS2026
Objective Intelligibility Prediction Using Distance Metrics on Speech Foundation Model Representations
Lyonel Behringer, Andreas Brendel
High-dimensional representations of pretrained speech foundation models have proven beneficial for objective speech quality and intelligibility prediction. While existing work on n…
eess.AS2026
Assessing the Impact of Noise and Speech Enhancement on the Intelligibility of Speech Codecs
Lyonel Behringer, Anna Leschanowsky, Anjana Rajasekhar +2
Preserving speech intelligibility is a minimum requirement for speech codecs in communication. Recently, very low-bitrate neural codecs have gained interest for replacing classical…