File size: 5,344 Bytes
1ce89a6 05d2efb b281cf4 05d2efb b281cf4 05d2efb 6ecce58 b281cf4 05d2efb b281cf4 05d2efb b281cf4 05d2efb 6ecce58 b281cf4 05d2efb b281cf4 05d2efb b281cf4 05d2efb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 |
---
license: cc-by-4.0
---
# The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)
## ABOUT
The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)
was created by School of Electronic and Information Engineering, South China University of Technology.
## CHOSEN EMOTIONS
13 emotions were chosen:
1. boredom,sigh
2. neutral,calm
3. happy,laugh,gaggle
4. sad,cry
5. angry,grunt,frustration
6. fearful,scream,panic
7. disgust,dislike,contempt
8. surprised,gasp,amazed
9. excited
10. pleasure
11. pain,groan
12. disappointment,disapproval
13. breath
## ORGANISING THE DATABASE
### Speech Statistic
| Duration Statisitc | Duration |
| -------------------------- |:-------------------------------------------------:|
| Num. of Clips | 2,150 |
| Total Duration | 13347.835 seconds = 222.464 minutes = 3.708 hours |
| Max Dur | 32.235 seconds |
| Min Dur | 0.287 seconds |
| Mean Dur | 6.208 seconds |
| Std. Dur | 3.839 seconds |
| Num. of Clips > 30 seconds | 1 |
| Emotion | Num. of Clips |
| ------------------------------- |:-------------:|
| 01: boredom, sigh | 81 |
| 02: neutral, calm | 657 |
| 03: happy, laugh, gaggle | 154 |
| 04: sad, cry | 268 |
| 05: angry, grunt, frustration | 385 |
| 06: fearful, scream, panic | 63 |
| 07: disgust, dislike, contempt | 90 |
| 08: surprised, hasp, amazed | 144 |
| 09: excited | 136 |
| 10: pleasure | 15 |
| 11: pain, groan | 25 |
| 12: disappointmrnt, disapproval | 132 |
| 13: breath | 0 |
| Emotion Intensity | Num. of Clips |
| ----------------- |:-------------:|
| 01: normal | 1,783 |
| 02: high | 367 |
| Gender | Num. of Clips |
| ----------- |:-------------:|
| 01: male | 1,224 |
| 02: female | 926 |
| Age Range | Num. of Clips |
| ---------- |:-------------:|
| 01: >65 | 65 |
| 02: 20~65 | 1,914 |
| 03: 3<20 | 80 |
| 04: <3 | 91 |
| Language | Num. of Clips |
| ------------- |:-------------:|
| 01: Mandarin | 937 |
| 02: English | 621 |
| 03: French | 175 |
| 04: Others | 417 |
### Non-Speech Statistic
| Duration Statisitc | Duration |
| -------------------------- |:-------------------------------------------------:|
| Num. of Clips | 5,484 |
| Total Duration | 14438.117 seconds = 240.635 minutes = 4.011 hours |
| Max Dur | 25.810 seconds |
| Min Dur | 0.141 seconds |
| Mean Dur | 2.633 seconds |
| Std. Dur | 2.720 seconds |
| Num. of Clips > 30 seconds | 0 |
| Emotion | Num. of Clips |
| ------------------------------- |:-------------:|
| 01: boredom, sigh | 392 |
| 02: neutral, calm | 253 |
| 03: happy, laugh, gaggle | 878 |
| 04: sad, cry | 383 |
| 05: angry, grunt, frustration | 339 |
| 06: fearful, scream, panic | 799 |
| 07: disgust, dislike, contempt | 473 |
| 08: surprised, hasp, amazed | 808 |
| 09: excited | 109 |
| 10: pleasure | 273 |
| 11: pain, groan | 706 |
| 12: disappointmrnt, disapproval | 70 |
| 13: breath | 1 |
| Emotion Intensity | Num. of Clips |
| ----------------- |:-------------:|
| 01: normal | 4,693 |
| 02: high | 791 |
| Gender | Num. of Clips |
| ----------- |:-------------:|
| 01: male | 2,919 |
| 02: female | 2,565 |
| Age Range | Num. of Clips |
| ---------- |:-------------:|
| 01: >65 | 73 |
| 02: 20~65 | 5,224 |
| 03: 3<20 | 100 |
| 04: <3 | 87 |
| Language | Num. of Clips |
| ------------- |:-------------:|
| 01: Mandarin | 512 |
| 02: English | 3,258 |
| 03: French | 109 |
| 04: Others | 1,605 |
## References
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.
|