 
				haydarkadioglu/nocle-app
			Audio-to-Audio
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				Updated
					
				
				
				
	
				
				
| filename
				 stringlengths 16 21 | label
				 stringclasses 3
				values | audio
				 audioduration (s) 20 20 | 
|---|---|---|
| 
	clean_speech\1.wav | 
	clean_speech | |
| 
	clean_speech\10.wav | 
	clean_speech | |
| 
	clean_speech\100.wav | 
	clean_speech | |
| 
	clean_speech\1000.wav | 
	clean_speech | |
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	clean_speech\1001.wav | 
	clean_speech | |
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	clean_speech\1002.wav | 
	clean_speech | |
| 
	clean_speech\1003.wav | 
	clean_speech | |
| 
	clean_speech\1004.wav | 
	clean_speech | |
| 
	clean_speech\1005.wav | 
	clean_speech | |
| 
	clean_speech\1006.wav | 
	clean_speech | |
| 
	clean_speech\1007.wav | 
	clean_speech | |
| 
	clean_speech\1008.wav | 
	clean_speech | |
| 
	clean_speech\1009.wav | 
	clean_speech | |
| 
	clean_speech\101.wav | 
	clean_speech | |
| 
	clean_speech\1010.wav | 
	clean_speech | |
| 
	clean_speech\1011.wav | 
	clean_speech | |
| 
	clean_speech\1012.wav | 
	clean_speech | |
| 
	clean_speech\1013.wav | 
	clean_speech | |
| 
	clean_speech\1014.wav | 
	clean_speech | |
| 
	clean_speech\1015.wav | 
	clean_speech | |
| 
	clean_speech\1016.wav | 
	clean_speech | |
| 
	clean_speech\1017.wav | 
	clean_speech | |
| 
	clean_speech\1018.wav | 
	clean_speech | |
| 
	clean_speech\1019.wav | 
	clean_speech | |
| 
	clean_speech\102.wav | 
	clean_speech | |
| 
	clean_speech\1020.wav | 
	clean_speech | |
| 
	clean_speech\1021.wav | 
	clean_speech | |
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	clean_speech\1022.wav | 
	clean_speech | |
| 
	clean_speech\1023.wav | 
	clean_speech | |
| 
	clean_speech\1024.wav | 
	clean_speech | |
| 
	clean_speech\1025.wav | 
	clean_speech | |
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	clean_speech\1026.wav | 
	clean_speech | |
| 
	clean_speech\1027.wav | 
	clean_speech | |
| 
	clean_speech\1028.wav | 
	clean_speech | |
| 
	clean_speech\1029.wav | 
	clean_speech | |
| 
	clean_speech\103.wav | 
	clean_speech | |
| 
	clean_speech\1030.wav | 
	clean_speech | |
| 
	clean_speech\1031.wav | 
	clean_speech | |
| 
	clean_speech\1032.wav | 
	clean_speech | |
| 
	clean_speech\1033.wav | 
	clean_speech | |
| 
	clean_speech\1034.wav | 
	clean_speech | |
| 
	clean_speech\1035.wav | 
	clean_speech | |
| 
	clean_speech\1036.wav | 
	clean_speech | |
| 
	clean_speech\1037.wav | 
	clean_speech | |
| 
	clean_speech\1038.wav | 
	clean_speech | |
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	clean_speech\1039.wav | 
	clean_speech | |
| 
	clean_speech\104.wav | 
	clean_speech | |
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	clean_speech\1040.wav | 
	clean_speech | |
| 
	clean_speech\1041.wav | 
	clean_speech | |
| 
	clean_speech\1042.wav | 
	clean_speech | |
| 
	clean_speech\1043.wav | 
	clean_speech | |
| 
	clean_speech\1044.wav | 
	clean_speech | |
| 
	clean_speech\1045.wav | 
	clean_speech | |
| 
	clean_speech\1046.wav | 
	clean_speech | |
| 
	clean_speech\1047.wav | 
	clean_speech | |
| 
	clean_speech\1048.wav | 
	clean_speech | |
| 
	clean_speech\1049.wav | 
	clean_speech | |
| 
	clean_speech\105.wav | 
	clean_speech | |
| 
	clean_speech\1050.wav | 
	clean_speech | |
| 
	clean_speech\1051.wav | 
	clean_speech | |
| 
	clean_speech\1052.wav | 
	clean_speech | |
| 
	clean_speech\1053.wav | 
	clean_speech | |
| 
	clean_speech\1054.wav | 
	clean_speech | |
| 
	clean_speech\1055.wav | 
	clean_speech | |
| 
	clean_speech\1056.wav | 
	clean_speech | |
| 
	clean_speech\1057.wav | 
	clean_speech | |
| 
	clean_speech\1058.wav | 
	clean_speech | |
| 
	clean_speech\1059.wav | 
	clean_speech | |
| 
	clean_speech\106.wav | 
	clean_speech | |
| 
	clean_speech\1060.wav | 
	clean_speech | |
| 
	clean_speech\1061.wav | 
	clean_speech | |
| 
	clean_speech\1062.wav | 
	clean_speech | |
| 
	clean_speech\1063.wav | 
	clean_speech | |
| 
	clean_speech\1064.wav | 
	clean_speech | |
| 
	clean_speech\1065.wav | 
	clean_speech | |
| 
	clean_speech\1066.wav | 
	clean_speech | |
| 
	clean_speech\1067.wav | 
	clean_speech | |
| 
	clean_speech\1068.wav | 
	clean_speech | |
| 
	clean_speech\1069.wav | 
	clean_speech | |
| 
	clean_speech\107.wav | 
	clean_speech | |
| 
	clean_speech\1070.wav | 
	clean_speech | |
| 
	clean_speech\1071.wav | 
	clean_speech | |
| 
	clean_speech\1072.wav | 
	clean_speech | |
| 
	clean_speech\1073.wav | 
	clean_speech | |
| 
	clean_speech\1074.wav | 
	clean_speech | |
| 
	clean_speech\1075.wav | 
	clean_speech | |
| 
	clean_speech\1076.wav | 
	clean_speech | |
| 
	clean_speech\1077.wav | 
	clean_speech | |
| 
	clean_speech\1078.wav | 
	clean_speech | |
| 
	clean_speech\1079.wav | 
	clean_speech | |
| 
	clean_speech\108.wav | 
	clean_speech | |
| 
	clean_speech\1080.wav | 
	clean_speech | |
| 
	clean_speech\1081.wav | 
	clean_speech | |
| 
	clean_speech\1082.wav | 
	clean_speech | |
| 
	clean_speech\1083.wav | 
	clean_speech | |
| 
	clean_speech\1084.wav | 
	clean_speech | |
| 
	clean_speech\1085.wav | 
	clean_speech | |
| 
	clean_speech\1086.wav | 
	clean_speech | |
| 
	clean_speech\1087.wav | 
	clean_speech | |
| 
	clean_speech\1088.wav | 
	clean_speech | 
This dataset contains three types of audio recordings:
The dataset is designed for speech enhancement, noise reduction, and speech recognition research.
filename: Path of the audio file  label: Category (clean_speech, noisy_speech, noise_only)Example:
| filename | label | 
|---|---|
| clean_speech/1.wav | clean_speech | 
| noisy_speech/5.wav | noisy_speech | 
| noise_only/3.wav | noise_only | 
CC0 1.0 – Public Domain Dedication.
You are free to use this dataset for research and commercial purposes.