| Speaker | Initial data points | Duplicates, empty audio or transcripts | Final data points | Initial Durations of final data points (hours) | Final Durations after silence removal (hours) |
|---|---|---|---|---|---|
| Hindi_M | 17798 | 1 | 17797 | 40.49 | 39.63 |
| Hindi_F | 16512 | 29 | 16483 | 40.21 | 38.16 |
| Telugu_M | 16939 | 0 |
This gist includes:
Filelists for all tracks available here: https://drive.google.com/drive/folders/1u4Yri7KQmk8EiVNMIVJdZdvAVVNoiyb8?usp=sharing
| #!/bin/bash | |
| # Dataproc configurations | |
| readonly HADOOP_CONF_DIR='/etc/hadoop/conf' | |
| readonly HIVE_CONF_DIR='/etc/hive/conf' | |
| readonly SPARK_CONF_DIR='/etc/spark/conf' | |
| function execute_with_retries() { | |
| local -r cmd=$1 | |
| for ((i = 0; i < 10; i++)); do |
| #!/bin/bash | |
| OS_NAME=$(lsb_release -is | tr '[:upper:]' '[:lower:]') | |
| readonly OS_NAME | |
| OS_DIST=$(lsb_release -cs) | |
| readonly OS_DIST | |
| CUDA_VERSION='10.2' | |
| readonly CUDA_VERSION | |
| readonly DEFAULT_NVIDIA_DEBIAN_GPU_DRIVER_VERSION='460.56' |
| name: rapids012 | |
| channels: | |
| - rapidsai | |
| - nvidia | |
| - conda-forge | |
| - defaults | |
| - numba | |
| dependencies: | |
| - python=3.6 | |
| - cudatoolkit=10.1 |
| import numpy as np | |
| def softmax(x): | |
| """ Compute the softmax for each row of the input x | |
| Arguments: | |
| x -- A N dimensional veector or M X N dimensional numpy matrix. | |
| Return: | |
| x -- modified x in-place | |
| """ | |
