Voice modeling for music information retrieval and human-computer interaction

用于音乐信息检索和人机交互的语音建模

• 批准号: 288337-2007
• 负责人: Gerhard, David
• 金额: $ 1.24万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=364933
• 关键词: Voice; modeling; music; information; retrieval

The human voice is an expressive and eloquent musical instrument.  Song and other human-instrument music is ubiquitous in many cultures and is one of the primary forms of modern entertainment.  With the rise of internet music sharing and sales, interacting with music is becoming a large research topic, but current techniques often concentrate on timbre, rhythm, and other characteristics that music listeners would consider the "background" of the music. Much of the "content" of current popular music is contained in the singer's lyrics, expression and style. When pitch is addressed, it is usually instrumental pitch, and when lyrics are considered, they are usually available as text.One of the primary goals of the music information retrieval community is to develop systems whereby a user can hum a tune and the system will identify that tune from a database of possible music.  This difficult task is compounded when users want to add more information by singing lyrics.  One of the aims of this work will be to develop feature models, signal processing techniques, and classification systems that allow for the transcription of human singing.People don't only listen to music, they create it as well. Many people claim that they cannot carry a tune, and yet are capable of humming or whistling along with the radio. This research has the potential to provide amateurs, untrained singers and even non-singers with the tools to interact with music in new and less threatening ways, and gain confidence with music. Professional singers will be provided with tools that make use of their training to facilitate writing of music, to hone their skill, and to interact with music in challenging and intriguing ways.  In the long term, deep and accurate models of human song may lead to a computer that sings to us.

人类的声音是一种富有表现力和雄辩的乐器。歌曲和其他人类乐器音乐在许多文化中无处不在，是现代娱乐的主要形式之一。随着互联网音乐分享和销售的兴起，与音乐互动正在成为一个大的研究课题，但目前的技术往往集中在音色，节奏，以及音乐听众会认为是音乐的"背景"的其它特征。当前流行音乐的大部分“内容”都包含在歌手的歌词、表达和风格中。当提到音高时，通常是器乐音高，而当考虑歌词时，它们通常以文本形式提供。音乐信息检索团体的主要目标之一是开发这样的系统，即用户可以哼一首曲子，系统将从可能的音乐数据库中识别该曲调。当用户想通过唱歌词来添加更多信息时，这项困难的任务就变得复杂了。其中一个这项工作的目标是开发特征模型、信号处理技术和分类系统，以便对人类歌唱进行转录。2人们不仅听音乐，还创作音乐。许多人声称他们不能携带一个曲调，但能够哼或吹口哨沿着收音机。这项研究有可能为业余爱好者、未经训练的歌手甚至非歌手提供工具，以新的、不那么危险的方式与音乐互动，并获得对音乐的信心。专业歌手将获得工具，利用他们的训练来促进音乐创作，磨练他们的技能，并以具有挑战性和有趣的方式与音乐互动。从长远来看，人类歌曲的深入和准确模型可能会导致计算机为我们唱歌。