Representations of Speech Dynamics as Features for Speaker Recognition

语音动力学的表示作为说话人识别的特征

• 批准号: 105523-2012
• 负责人: Kenny, Patrick
• 金额: $ 1.53万
• 依托单位: Centre de recherche informatique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=521960
• 关键词: Representations; Speech; Dynamics; Features; Speaker

There has been very rapid progress in the field of speaker recognition in recent years. Error rates in the NIST speaker recognition evaluations have decreased by a factor of 2--3 since 2005 and a pilot evaluation of "human assisted speaker recognition" in 2010 indicated that machine performance on the core speaker recognition task as defined by NIST is comparable to that of human experts.

近年来，说话人识别领域取得了非常迅速的进展。自2005年以来，NIST说话人识别评估的错误率下降了2-3倍，2010年对“人类辅助说话人识别”的试点评估表明，NIST定义的核心说话人识别任务的机器性能与人类专家相当。