Data Structure ?
1.4G
Data Structure ?
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README.md
これは、3種類の離散的な感情（喜び、怒り、驚き）を識別するための最初のアラビア語の自然音声データセット（ANAD）です。
オンラインのアラビア語トークショー番組から、スタジオ外で司会者と人間とのリアルタイム通話のビデオを8つダウンロードしました。その後、各ビデオを発話単位（発信者と受信者）に分割しました。各ビデオにラベルを付けるために、18人の聴取者に各ビデオを聴いてもらい、喜び、怒り、または驚きの感情を感じたかどうかを選択させました。無音部分、笑い声、およびノイズの多い部分を除去しました。そして、各ブロックを自動的に1秒の音声単位に分割し、1384個のレコードからなる最終コーパスを形成しました。
25個の音響特徴（低レベル記述子とも呼ばれます）を抽出しました。これらの特徴には、強度、ゼロ交差率、MFCC 1 - 12（メル周波数ケプストラム係数）、F0（基本周波数）とF0エンベロープ、有声化の確率、およびLSP周波数0 - 7が含まれます。各特徴に対して19個の統計関数を適用しました。関数には、最大値、最小値、範囲、最大値の絶対位置、最小値の絶対位置、算術平均、線形回帰1、線形回帰2、線形回帰A、線形回帰Q、標準偏差、尖度、歪度、四分位数1、2、3、および四分位範囲1 - 2、2 - 3、1 - 3が含まれます。各低レベル記述子の差分係数も、1次導関数の推定値として計算され、合計で950個の特徴が得られます。
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