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<p>The GaMMA (Gaze, Motion, and Multi-talker Audio) corpus captures the behavior of polyadic conversations among native Danish speakers under both normal and cocktail party conditions. Eleven groups of four normal-hearing participants are recorded while engaged in natural and spontaneous interactions. All conversations were conducted without conversational tasks. Each group was intentionally composed of participants with prior intragroup and interpersonal relations. Gaze and motion data were collected using an optical tracking system and eye-tracking glasses, while speech was recorded via omnidirectional head-worn microphones and binaural hearing aid microphones with low occlusion. Calibrations were conducted before trials and compensation filters were created to account for differences in microphone placements. Processed versions of the audio signals, with background noise attenuated and crosstalk removed, were used to compute speech activity for all participants. The corpus, including both raw and processed gaze and audio data, as well as filters, calibration signals, and speech activity output, is publicly available.</p>

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The GaMMA corpus of Danish polyadic conversations with gaze speech and motion data in quiet and noise

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月21日

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  • Mark Dourado,
  • Henrik Gert Hassager,
  • Jesper Udesen,
  • Stefania Serafin

摘要

The GaMMA (Gaze, Motion, and Multi-talker Audio) corpus captures the behavior of polyadic conversations among native Danish speakers under both normal and cocktail party conditions. Eleven groups of four normal-hearing participants are recorded while engaged in natural and spontaneous interactions. All conversations were conducted without conversational tasks. Each group was intentionally composed of participants with prior intragroup and interpersonal relations. Gaze and motion data were collected using an optical tracking system and eye-tracking glasses, while speech was recorded via omnidirectional head-worn microphones and binaural hearing aid microphones with low occlusion. Calibrations were conducted before trials and compensation filters were created to account for differences in microphone placements. Processed versions of the audio signals, with background noise attenuated and crosstalk removed, were used to compute speech activity for all participants. The corpus, including both raw and processed gaze and audio data, as well as filters, calibration signals, and speech activity output, is publicly available.