论文标题
使用语音识别技巧进行Bharatanatyam舞蹈音乐的击败检测和自动注释
Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques
论文作者
论文摘要
印度古典舞蹈形式Bharatanatyam代表了印度丰富的文化遗产。对这种舞蹈形式的分析和认可对于保存文化遗产至关重要。像大多数舞蹈形式一样，Bharatanatyam舞者与结构化的节奏音乐（称为Sollukattu）同步表演，该音乐包括乐器节奏和发声的话语（BOLS），以创建节奏音乐结构。因此，Bharatanatyam的计算机分析需要对Sollukattus进行结构分析。在本文中，我们使用语音处理技术来识别BOL。利用Sollukattus和检测到的BOL的预定义结构，我们认识到Sollukattu。我们通过两种方法估算节奏周期。最后，我们通过节拍标记对音频信号产生完整的注释。为此，我们还使用了从Sollukattu信号的开始中检测到的Beats信息。对于培训和测试，我们为Sollukattus创建一个数据集并注释它们。我们在BOL识别中获得了85％的精度，Sollukattu识别的95％，节奏期估计的96％，Beat标记超过90％。这是娘家赛在结构上完全分析印度古典舞蹈形式的音乐以及使用语音处理技术进行节拍标记的尝试。
Bharatanatyam, an Indian Classical Dance form, represents the rich cultural heritage of India. Analysis and recognition of such dance forms are critical for the preservation of cultural heritage. Like in most dance forms, a Bharatanatyam dancer performs in synchronization with structured rhythmic music, called Sollukattu, which comprises instrumental beats and vocalized utterances (bols) to create a rhythmic music structure. Computer analysis of Bharatanatyam, therefore, requires a structural analysis of Sollukattus. In this paper, we use speech processing techniques to recognize bols. Exploiting the predefined structures of Sollukattus and the detected bols, we recognize the Sollukattu. We estimate the tempo period by two methods. Finally, we generate a complete annotation of the audio signal by beat marking. For this, we also use the information of beats detected from the onset envelope of a Sollukattu signal. For training and test, we create a data set for Sollukattus and annotate them. We achieve 85% accuracy in bol recognition, 95% in Sollukattu recognition, 96% in tempo period estimation, and over 90% in beat marking. This is the maiden attempt to fully structurally analyze the music of an Indian Classical Dance form and the use of speech processing techniques for beat marking.
