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ASVP_ESD

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EdwardHayashi-2023 commited on
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Upload dataset statisitic

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  1. ASVP_ESD.py +1 -1
  2. README.md +100 -5
ASVP_ESD.py CHANGED
@@ -41,7 +41,7 @@ id2labels = {
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  2: "neutral,calm",
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  3: "happy,laugh,gaggle",
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  4: "sad,cry",
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- 5:"angry,grunt,frustration",
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  6: "fearful,scream,panic",
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  7: "disgust,dislike,contempt",
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  8: "surprised,gasp,amazed",
 
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  2: "neutral,calm",
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  3: "happy,laugh,gaggle",
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  4: "sad,cry",
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+ 5: "angry,grunt,frustration",
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  6: "fearful,scream,panic",
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  7: "disgust,dislike,contempt",
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  8: "surprised,gasp,amazed",
README.md CHANGED
@@ -7,9 +7,7 @@ license: cc-by-4.0
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  ## ABOUT
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  The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)
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- was created .
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-
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- ## CREATION OF THE DATABASE
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  ## CHOSEN EMOTIONS
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@@ -30,12 +28,109 @@ was created .
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  ## ORGANISING THE DATABASE
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- ## References
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- 1. Dejoli Tientcheu Touko Landry, Qianhua He, Haikang Yan and Yanxiong Li. (2020). ASVP-ESD:A dataset and its benchmark for emotion recognition using both speech and non-speech utterances. Global Scientific Journals, 8(6), 1793-1798.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## ABOUT
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  The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)
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+ was created by School of Electronic and Information Engineering, South China University of Technology.
 
 
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  ## CHOSEN EMOTIONS
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  ## ORGANISING THE DATABASE
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+ ### Speech Statistic
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+ | -------------------------- |:-------------------------------------------------:|
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+ | Num. of Clips | 2,150 |
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+ | Total Duration | 13347.835 seconds = 222.464 minutes = 3.708 hours |
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+ | Max Dur | 32.235 seconds |
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+ | Min Dur | 0.287 seconds |
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+ | Mean Dur | 6.208 seconds |
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+ | Std. Dur | 3.839 seconds |
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+ | Num. of Clips > 30 seconds | 1 |
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+ | Emotion | Num. of Clips |
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+ | ------------------------------- |:-------------:|
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+ | 01: boredom, sigh | 81 |
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+ | 02: neutral, calm | 657 |
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+ | 03: happy, laugh, gaggle | 154 |
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+ | 04: sad, cry | 268 |
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+ | 05: angry, grunt, frustration | 385 |
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+ | 06: fearful, scream, panic | 63 |
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+ | 07: disgust, dislike, contempt | 90 |
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+ | 08: surprised, hasp, amazed | 144 |
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+ | 09: excited | 136 |
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+ | 10: pleasure | 15 |
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+ | 11: pain, groan | 25 |
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+ | 12: disappointmrnt, disapproval | 132 |
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+ | 13: breath | 0 |
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+ | Emotion Intensity | Num. of Clips |
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+ | ----------------- |:-------------:|
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+ | 01: normal | 1,783 |
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+ | 02: high | 367 |
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+
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+ | Gender | Num. of Clips |
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+ | ----------- |:-------------:|
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+ | 01: male | 1,224 |
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+ | 02: female | 926 |
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+
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+ | Age Range | Num. of Clips |
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+ | ---------- |:-------------:|
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+ | 01: >65 | 65 |
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+ | 02: 20~65 | 1,914 |
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+ | 03: 3<20 | 80 |
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+ | 04: <3 | 91 |
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+
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+ | Language | Num. of Clips |
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+ | ------------- |:-------------:|
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+ | 01: Mandarin | 937 |
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+ | 02: English | 621 |
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+ | 03: French | 175 |
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+ | 04: Others | 417 |
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+
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+ ### Non-Speech Statistic
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+ | -------------------------- |:-------------------------------------------------:|
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+ | Num. of Clips | 5,484 |
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+ | Total Duration | 14438.117 seconds = 240.635 minutes = 4.011 hours |
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+ | Max Dur | 25.810 seconds |
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+ | Min Dur | 0.141 seconds |
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+ | Mean Dur | 2.633 seconds |
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+ | Std. Dur | 2.720 seconds |
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+ | Num. of Clips > 30 seconds | 0 |
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+ | Emotion | Num. of Clips |
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+ | ------------------------------- |:-------------:|
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+ | 01: boredom, sigh | 392 |
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+ | 02: neutral, calm | 253 |
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+ | 03: happy, laugh, gaggle | 878 |
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+ | 04: sad, cry | 383 |
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+ | 05: angry, grunt, frustration | 339 |
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+ | 06: fearful, scream, panic | 799 |
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+ | 07: disgust, dislike, contempt | 473 |
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+ | 08: surprised, hasp, amazed | 808 |
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+ | 09: excited | 109 |
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+ | 10: pleasure | 273 |
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+ | 11: pain, groan | 706 |
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+ | 12: disappointmrnt, disapproval | 70 |
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+ | 13: breath | 1 |
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+ | Emotion Intensity | Num. of Clips |
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+ | ----------------- |:-------------:|
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+ | 01: normal | 4,693 |
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+ | 02: high | 791 |
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+
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+ | Gender | Num. of Clips |
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+ | ----------- |:-------------:|
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+ | 01: male | 2,919 |
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+ | 02: female | 2,565 |
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+
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+ | Age Range | Num. of Clips |
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+ | ---------- |:-------------:|
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+ | 01: >65 | 73 |
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+ | 02: 20~65 | 5,224 |
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+ | 03: 3<20 | 100 |
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+ | 04: <3 | 87 |
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+
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+ | Language | Num. of Clips |
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+ | ------------- |:-------------:|
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+ | 01: Mandarin | 512 |
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+ | 02: English | 3,258 |
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+ | 03: French | 109 |
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+ | 04: Others | 1,605 |
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+
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+ ## References
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+
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+ 1. Dejoli Tientcheu Touko Landry, Qianhua He, Haikang Yan and Yanxiong Li. (2020). ASVP-ESD:A dataset and its benchmark for emotion recognition using both speech and non-speech utterances. Global Scientific Journals, 8(6), 1793-1798.
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