mirfan899

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz:

mirfan899

<?php

namespace App\BotMan\Middleware;

use Mpociot\BotMan\Message;
use Mpociot\BotMan\Http\Curl;
use Mpociot\BotMan\Interfaces\HttpInterface;
use Mpociot\BotMan\Interfaces\DriverInterface;
use Mpociot\BotMan\Interfaces\MiddlewareInterface;

mirfan899

wget --no-check-certificate --content-disposition https://github.com/joyent/node/tarball/v0.7.1
# --no-check-cerftificate was necessary for me to have wget not puke about https
curl -LJO https://github.com/joyent/node/tarball/v0.7.1

mirfan899

#!/usr/bin/env bash

wget https://www.python.org/ftp/python/3.6.9/Python-3.6.9.tgz
tar xzf Python-3.6.9.tgz
cd Pyhton-3.6.9

./configure --enable-optimizations

make -j 2
make altinstall

mirfan899

sudo apt-get purge cuda
sudo apt-get purge libcudnn6
sudo apt-get purge libcudnn6-dev

# resources for nvidia deb package.
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7_7.0.5.15-1+cuda9.0_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7-dev_7.0.5.15-1+cuda9.0_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libnccl2_2.1.4-1+cuda9.0_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libnccl-dev_2.1.4-1+cuda9.0_amd64.deb

mirfan899

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

mirfan899

apt-get update && apt-get install -y \
      sox \
      curl \
      libicu-dev \
      g++ \
      git \
      python \
      python-dev \
      python-setuptools \

mirfan899

#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

mirfan899

import codecs

tagged_sentences = codecs.open("../data/data.txt", encoding="utf-8").readlines()
print(tagged_sentences[0])

import ast
import numpy as np
from keras.layers import Dense, InputLayer, Embedding, Activation
from keras.models import Sequential
from keras.optimizers import Adam

mirfan899

# Keras==1.0.6
import numpy as np
from keras.models import Sequential
from keras.layers.recurrent import LSTM
from keras.layers.core import TimeDistributedDense, Activation
from keras.preprocessing.sequence import pad_sequences
from keras.layers.embeddings import Embedding
from sklearn.cross_validation import train_test_split
from sklearn.metrics import confusion_matrix, accuracy_score, precision_recall_fscore_support