{'fraction_non_alphanumeric': 0.01839080459770115, 'fraction_numerical': 0.0015325670498084292, 'mean_word_length': 5.219047619047619, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Objective Quality Measures for Dereverberation Methods based on Room Impulse Response Equalization

Hands-free communication devices are commonly used e.g. in offices or car environments. These devices have to cope with several problems such as ambient noise, acoustic echoes and room reverberation. Reverberation is caused by reflections at room boundaries in enclosed spaces and increases with the spatial distance between the loudspeaker and the near-end user. A high amount of reverberation decreases speech intelligibility at the position of the near-end listener. Approaches for listening-room compensation (LRC) can be used to reduce the influence of reverberation on acoustic signals by equalization of the acoustic channel. However, such algorithms may also have negative impact on the perception of the sound quality of the dereverberated signal if they are not designed properly. In this contribution, objective measures that are expected to be able to assess quality of LRC algorithms are identified since a commonly accepted objective measure is not yet available. Listening Room Compensation The equalization of acoustic channels is topic of research for some decades now [1]. Figure 1 shows a common setup for LRC with the equalization filter cEQ preceding the room impulse respose (RIR) h.