amarion35

from keras import backend as K
from keras.engine.base_layer import Layer, InputSpec
from keras import activations
from keras.layers.convolutional import _Conv
import numpy as np

class TDNN(_Conv):
    # Original TDNN
    # A. Waibel, T. Hanazawa, G. Hinton, K. Shikano and K. J. Lang,
    # "Phoneme recognition using time-delay neural networks,"

adityaguptai

asford

# Created by https://www.gitignore.io/api/c++,cmake

### C++ ###
# Prerequisites
*.d

# Compiled Object files
*.slo
*.lo

therightstuff

Please see the original article for a full explanation. Please feel free to comment, question and criticize there as well!

Prerequisites

Requires https://www.npmjs.com/package/simple-free-encryption-tool

Notes

• compiled from multiple sources and much trial and error, feel free to use and pass on
• this is not exhaustive, it's meant only as a guide

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

sloria

# -*- coding: utf-8 -*-
'''recorder.py
Provides WAV recording functionality via two approaches:

Blocking mode (record for a set duration):
>>> rec = Recorder(channels=2)
>>> with rec.open('blocking.wav', 'wb') as recfile:
...     recfile.record(duration=5.0)

Non-blocking mode (start and stop recording):

ederwander

#Eng Eder de Souza 01/12/2011
#Speech Recognizer prototype ...
#Real time VAD implementation using Google Speech Api

from tempfile import mkstemp
from subprocess import call
from os import remove, listdir
from matplotlib.mlab import find
import pyaudio
import numpy as np