Voice modeling for music information retrieval and human-computer interaction

人声是一种富有表现力和雄辩力的乐器。 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。 随着互联网音乐共享和销售的兴起，与音乐的交互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，节奏和其他特征，音乐听众会认为音乐的“背景”。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。当音高被处理时，它通常是乐器音高，而当歌词被考虑时，它们通常是作为文本可用的。音乐信息检索社区的主要目标之一是开发系统，从而用户可以哼出一个曲调，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，这项艰巨的任务就变得更加复杂了。 这项工作的目标之一将是开发特征模型、信号处理技术和分类系统，以实现人类歌唱的转录。人们不仅听音乐，还创造音乐。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。专业歌手将提供工具，利用他们的培训，以促进音乐创作，磨练他们的技能，并与音乐互动的挑战和有趣的方式。 从长远来看，人类歌曲的深度和准确模型可能会导致计算机为我们唱歌。

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.