> For the complete documentation index, see [llms.txt](https://grace1287986s-organization.gitbook.io/musicai-ui-space-v2/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://grace1287986s-organization.gitbook.io/musicai-ui-space-v2/introduction.md).

# Introduction

This is an music analysis tool. We provide some basic music analysis method: Pitch estimation, Beat tracking, Chord recognition, Structure analysis, and Timbre analysis for users without  programming basis to analyze the audio in an easy way.

### Overview

The audioviz UI interface provides the following analyzing functions:

#### Basic Analysis

* [Waveform(matplotlib)](/musicai-ui-space-v2/basic-analysis.md#waveform-matplotlib)
* [Waveform(ploty)](/musicai-ui-space-v2/basic-analysis.md#waveform-ploty)
* [Single\_RMS\_analysis](/musicai-ui-space-v2/basic-analysis.md#single_rms_analysis)
* [Spectrogram](/musicai-ui-space-v2/basic-analysis.md#spectrogram)
* [Download RMS data](/musicai-ui-space-v2/basic-analysis.md#download-rms-data)

#### Pitch Analysis

* [Mel-frequency spectrogram](/musicai-ui-space-v2/pitch-analysis.md#mel-frequency-spectrogram)
* [Constant-Q transform](/musicai-ui-space-v2/pitch-analysis.md#constant-q-transform)
* [Chroma](/musicai-ui-space-v2/pitch-analysis.md#chroma)
* [Pitch class](/musicai-ui-space-v2/pitch-analysis.md#pitch-class)

#### Time Analysis

* [note\_detection](/musicai-ui-space-v2/time-analysis.md#node_detection)
* [Onset\_strength](/musicai-ui-space-v2/time-analysis.md#onset_strength)
* [Beat\_analysis](/musicai-ui-space-v2/time-analysis.md#beat_analysis)
* [Predominant\_local\_pulse](/musicai-ui-space-v2/time-analysis.md#predominant_local_pulse)
* [Static\_tempo\_estimation](/musicai-ui-space-v2/time-analysis.md#static_tempo_estimation)
* [Tempogram](/musicai-ui-space-v2/time-analysis.md#tempogram)

#### Chord Analysis

* [STFT Chroma](/musicai-ui-space-v2/chord-analysis.md#stft-chroma)
* [Chords Result(Default)](/musicai-ui-space-v2/chord-analysis.md#chords-result-default)
* [Chords Result(User)](/musicai-ui-space-v2/chord-analysis.md#chords-result-user)

#### Structure Analysis

* [Self-similarity matrix](/musicai-ui-space-v2/structure-analysis.md#self-similarity-matrix)

#### Timbre Analysis

* [Spectral Centroid](/musicai-ui-space-v2/timbre-analysis.md#spectral-centroid)
* [Rolloff Frequency](/musicai-ui-space-v2/timbre-analysis.md#rolloff-frequency)
* [Spectral Bandwidth](/musicai-ui-space-v2/timbre-analysis.md#spectral-bandwidth)
* [Harmonic Percussive Source Separation](/musicai-ui-space-v2/timbre-analysis.md#harmonic-percussive-source-separation)

#### Summary

* [Summary](/musicai-ui-space-v2/summary.md#summary)

#### Interactive mode

We also provide some interactive mode with histogram and waveform figures by ***ploty***.  You can choose to use an interactive mode by clicking the check box of `Use ploty` in the `dev` page.

<figure><img src="/files/N8lZcTeEPlJx1HmXflKJ" alt=""><figcaption></figcaption></figure>

Or by clicking the checkbox of `Enable Dynamic Graphics` on supported page to enable ***ploty***.

<figure><img src="/files/PNGCcGI1Y49rH62mnQCY" alt=""><figcaption></figcaption></figure>

### 開發團隊

* [Li Su](https://www.iis.sinica.edu.tw/pages/lisu/contact_zh.html)
  * 中央研究院 資訊科學研究所 音樂與文化科技實驗室(Music & Culture Technology Lab, Institute of Information Science, Academia Sinica, Taiwan)
  * 計畫主持人
* [Yu-Fen Huang](https://yfhuang.info/)
  * 中央研究院 資訊科學研究所 音樂與文化科技實驗室(Music & Culture Technology Lab, Institute of Information Science, Academia Sinica, Taiwan)
  * 計畫主持人
* [Yu-Lan Chaung](https://github.com/TrangDuLam)
  * 清華大學 電機工程所
  * 核心功能開發、套件源碼整合
* [Hong-Hsiang Liu](https://url.o-w-o.cc/link)
  * 清華大學 電機工程所
  * 互動介面設計、應用部署與配置
* [Ting-Yi Lu](https://grace1287986s-organization.gitbook.io/musicai-ui-space-v2/www.linkedin.com/in/庭誼-盧-2ba508198)
  * 清華大學 資訊工程所
  * 套件源碼整合、說明文件撰寫

### 問題反饋

如果您在使用此專案時遇到任何問題，請通過以下方式與我們聯繫：

* 發送電子郵件給我們
* 在我們的GitHub頁面提交問題
  * [視覺化介面](https://github.com/Keycatowo/music-analysis/issues)
  * [程式套件](https://github.com/TrangDuLam/audioviz)

我們會盡快回复您的問題。

### 授權協議

音樂分析工具採用 [MIT](https://opensource.org/license/mit/) 授權。

請注意，我們的軟件和內容可能包含第三方軟件庫和組件，這些庫和組件受到其各自的許可證的管轄。有關這些庫和組件的詳細信息，請參閱相應的文檔。