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rttms_hindi_audio

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38.3
rttm
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833
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train_00507
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train_00342
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train_00520
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train_00254
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train_00435
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train_00168
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train_00467
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train_00263
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train_00194
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train_00210
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train_00332
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train_00135
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train_00436
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train_00299
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train_00129
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train_00083
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train_00215
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train_00277
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train_00152
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train_00356
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train_00224
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train_00105
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train_00043
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train_00449
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train_00393
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train_00157
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train_00068
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train_00237
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train_00247
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train_00184
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train_00125
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train_00235
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train_00344
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train_00498
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train_00255
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train_00192
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train_00156
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train_00399
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train_00274
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train_00177
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train_00421
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train_00048
SPEAKER train_00048 1 0.000 2.342 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00048 1 1.384 1.628 <NA> <NA> 4068 <NA> <NA> SPEAKER train_00048 1 3.240 1.794 <NA> <NA> 4068 <NA> <NA> SPEAKER train_00048 1 5.034 0.380 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00048 1 5.770 2.438 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00048 1 9.208 3.708 <NA> <NA> 4621 <NA> <NA> SPEAKER train_00048 1 13.336 0.954 <NA> <NA> 4621 <NA> <NA> SPEAKER train_00048 1 14.292 1.532 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00048 1 16.052 1.754 <NA> <NA> 0159 <NA> <NA>
train_00058
SPEAKER train_00058 1 0.000 3.228 <NA> <NA> 2841 <NA> <NA> SPEAKER train_00058 1 0.778 2.588 <NA> <NA> 2868 <NA> <NA> SPEAKER train_00058 1 3.365 3.258 <NA> <NA> 3226 <NA> <NA> SPEAKER train_00058 1 5.545 2.588 <NA> <NA> 4191 <NA> <NA> SPEAKER train_00058 1 8.233 2.300 <NA> <NA> 4191 <NA> <NA> SPEAKER train_00058 1 10.534 3.260 <NA> <NA> 0159 <NA> <NA>
train_00130
SPEAKER train_00130 1 0.000 4.252 <NA> <NA> 4024 <NA> <NA> SPEAKER train_00130 1 4.253 3.422 <NA> <NA> 5868 <NA> <NA> SPEAKER train_00130 1 8.675 3.100 <NA> <NA> 4817 <NA> <NA> SPEAKER train_00130 1 11.774 4.938 <NA> <NA> 1073 <NA> <NA> SPEAKER train_00130 1 16.711 2.278 <NA> <NA> 3905 <NA> <NA>
train_00385
SPEAKER train_00385 1 0.000 3.362 <NA> <NA> 1933 <NA> <NA> SPEAKER train_00385 1 3.362 2.246 <NA> <NA> 0411 <NA> <NA> SPEAKER train_00385 1 3.657 2.300 <NA> <NA> 1933 <NA> <NA> SPEAKER train_00385 1 6.057 1.454 <NA> <NA> 1933 <NA> <NA> SPEAKER train_00385 1 7.511 2.454 <NA> <NA> 3373 <NA> <NA> SPEAKER train_00385 1 9.965 2.972 <NA> <NA> 0447 <NA> <NA> SPEAKER train_00385 1 13.037 0.302 <NA> <NA> 0447 <NA> <NA>
train_00339
SPEAKER train_00339 1 0.000 2.778 <NA> <NA> 0252 <NA> <NA> SPEAKER train_00339 1 2.781 3.772 <NA> <NA> 4024 <NA> <NA> SPEAKER train_00339 1 4.570 3.738 <NA> <NA> 4088 <NA> <NA> SPEAKER train_00339 1 8.307 3.772 <NA> <NA> 3029 <NA> <NA> SPEAKER train_00339 1 12.079 2.902 <NA> <NA> 1599 <NA> <NA>
train_00079
SPEAKER train_00079 1 0.000 1.692 <NA> <NA> 4817 <NA> <NA> SPEAKER train_00079 1 2.304 3.090 <NA> <NA> 4817 <NA> <NA> SPEAKER train_00079 1 5.392 4.658 <NA> <NA> 5155 <NA> <NA> SPEAKER train_00079 1 10.050 3.196 <NA> <NA> 3149 <NA> <NA> SPEAKER train_00079 1 13.245 2.938 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00079 1 13.325 3.306 <NA> <NA> 1340 <NA> <NA>
train_00116
SPEAKER train_00116 1 0.000 0.988 <NA> <NA> 2260 <NA> <NA> SPEAKER train_00116 1 1.120 2.620 <NA> <NA> 2260 <NA> <NA> SPEAKER train_00116 1 3.840 0.702 <NA> <NA> 2260 <NA> <NA> SPEAKER train_00116 1 4.541 3.790 <NA> <NA> 5858 <NA> <NA> SPEAKER train_00116 1 8.330 5.308 <NA> <NA> 2658 <NA> <NA> SPEAKER train_00116 1 13.770 1.030 <NA> <NA> 2658 <NA> <NA> SPEAKER train_00116 1 14.798 2.730 <NA> <NA> 4088 <NA> <NA> SPEAKER train_00116 1 17.529 1.020 <NA> <NA> 5858 <NA> <NA> SPEAKER train_00116 1 18.681 2.268 <NA> <NA> 5858 <NA> <NA>
train_00238
SPEAKER train_00238 1 0.000 1.052 <NA> <NA> 0411 <NA> <NA> SPEAKER train_00238 1 1.248 2.202 <NA> <NA> 0411 <NA> <NA> SPEAKER train_00238 1 4.450 2.638 <NA> <NA> 2381 <NA> <NA> SPEAKER train_00238 1 7.088 4.046 <NA> <NA> 2287 <NA> <NA> SPEAKER train_00238 1 11.132 3.082 <NA> <NA> 2381 <NA> <NA> SPEAKER train_00238 1 11.840 6.526 <NA> <NA> 2287 <NA> <NA>
train_00333
SPEAKER train_00333 1 0.000 5.998 <NA> <NA> 2852 <NA> <NA> SPEAKER train_00333 1 5.998 3.818 <NA> <NA> 1737 <NA> <NA> SPEAKER train_00333 1 9.817 3.580 <NA> <NA> 4068 <NA> <NA> SPEAKER train_00333 1 13.396 2.646 <NA> <NA> 2287 <NA> <NA> SPEAKER train_00333 1 14.117 2.332 <NA> <NA> 4151 <NA> <NA> SPEAKER train_00333 1 16.613 2.942 <NA> <NA> 4151 <NA> <NA>
train_00026
SPEAKER train_00026 1 0.000 5.414 <NA> <NA> 0290 <NA> <NA> SPEAKER train_00026 1 5.414 2.778 <NA> <NA> 0252 <NA> <NA> SPEAKER train_00026 1 5.778 3.938 <NA> <NA> 0327 <NA> <NA> SPEAKER train_00026 1 9.718 4.668 <NA> <NA> 0475 <NA> <NA> SPEAKER train_00026 1 15.386 2.538 <NA> <NA> 0730 <NA> <NA>
train_00281
SPEAKER train_00281 1 0.000 4.028 <NA> <NA> 4525 <NA> <NA> SPEAKER train_00281 1 5.028 3.420 <NA> <NA> 4200 <NA> <NA> SPEAKER train_00281 1 8.449 1.468 <NA> <NA> 1073 <NA> <NA> SPEAKER train_00281 1 10.465 5.052 <NA> <NA> 1073 <NA> <NA> SPEAKER train_00281 1 15.519 5.596 <NA> <NA> 4200 <NA> <NA> SPEAKER train_00281 1 19.875 2.460 <NA> <NA> 1102 <NA> <NA> SPEAKER train_00281 1 22.883 1.244 <NA> <NA> 1102 <NA> <NA> SPEAKER train_00281 1 24.515 0.458 <NA> <NA> 1102 <NA> <NA>
train_00261
SPEAKER train_00261 1 0.000 3.670 <NA> <NA> 4531 <NA> <NA> SPEAKER train_00261 1 3.671 3.126 <NA> <NA> 2839 <NA> <NA> SPEAKER train_00261 1 9.074 2.862 <NA> <NA> 3731 <NA> <NA> SPEAKER train_00261 1 11.937 3.478 <NA> <NA> 0760 <NA> <NA> SPEAKER train_00261 1 15.416 3.868 <NA> <NA> 0290 <NA> <NA> SPEAKER train_00261 1 19.640 1.106 <NA> <NA> 0290 <NA> <NA>
train_00368
SPEAKER train_00368 1 0.000 4.508 <NA> <NA> 5921 <NA> <NA> SPEAKER train_00368 1 4.509 3.114 <NA> <NA> 3813 <NA> <NA> SPEAKER train_00368 1 6.512 3.164 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00368 1 9.675 3.762 <NA> <NA> 2867 <NA> <NA> SPEAKER train_00368 1 17.828 0.380 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00368 1 18.564 2.438 <NA> <NA> 0159 <NA> <NA>
train_00131
SPEAKER train_00131 1 0.000 1.404 <NA> <NA> 1769 <NA> <NA> SPEAKER train_00131 1 1.536 3.004 <NA> <NA> 1769 <NA> <NA> SPEAKER train_00131 1 4.540 3.886 <NA> <NA> 1102 <NA> <NA> SPEAKER train_00131 1 8.427 3.158 <NA> <NA> 0760 <NA> <NA> SPEAKER train_00131 1 11.587 0.828 <NA> <NA> 1769 <NA> <NA> SPEAKER train_00131 1 12.579 0.764 <NA> <NA> 1769 <NA> <NA> SPEAKER train_00131 1 13.763 2.986 <NA> <NA> 1769 <NA> <NA> SPEAKER train_00131 1 16.748 3.842 <NA> <NA> 1432 <NA> <NA>
train_00508
SPEAKER train_00508 1 0.000 6.172 <NA> <NA> 0116 <NA> <NA> SPEAKER train_00508 1 6.173 3.934 <NA> <NA> 1314 <NA> <NA> SPEAKER train_00508 1 10.107 3.274 <NA> <NA> 2953 <NA> <NA> SPEAKER train_00508 1 13.382 3.098 <NA> <NA> 1314 <NA> <NA> SPEAKER train_00508 1 16.480 3.390 <NA> <NA> 2953 <NA> <NA>
train_00146
SPEAKER train_00146 1 0.000 4.348 <NA> <NA> 5214 <NA> <NA> SPEAKER train_00146 1 1.741 5.286 <NA> <NA> 4151 <NA> <NA> SPEAKER train_00146 1 7.027 5.390 <NA> <NA> 3437 <NA> <NA> SPEAKER train_00146 1 12.417 3.522 <NA> <NA> 4511 <NA> <NA> SPEAKER train_00146 1 15.940 4.886 <NA> <NA> 1073 <NA> <NA>
train_00196
SPEAKER train_00196 1 0.000 3.548 <NA> <NA> 0862 <NA> <NA> SPEAKER train_00196 1 3.548 3.726 <NA> <NA> 1072 <NA> <NA> SPEAKER train_00196 1 7.275 5.394 <NA> <NA> 4200 <NA> <NA> SPEAKER train_00196 1 12.669 3.578 <NA> <NA> 4817 <NA> <NA> SPEAKER train_00196 1 16.246 1.500 <NA> <NA> 0159 <NA> <NA> SPEAKER train_00196 1 18.006 1.754 <NA> <NA> 0159 <NA> <NA>
train_00151
SPEAKER train_00151 1 0.000 4.374 <NA> <NA> 0891 <NA> <NA> SPEAKER train_00151 1 4.376 4.252 <NA> <NA> 4102 <NA> <NA> SPEAKER train_00151 1 8.627 1.916 <NA> <NA> 0891 <NA> <NA> SPEAKER train_00151 1 10.643 1.980 <NA> <NA> 0891 <NA> <NA> SPEAKER train_00151 1 12.723 0.956 <NA> <NA> 0891 <NA> <NA> SPEAKER train_00151 1 13.679 5.006 <NA> <NA> 4531 <NA> <NA> SPEAKER train_00151 1 17.136 3.094 <NA> <NA> 3226 <NA> <NA>
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