Using text to speech using Terminal + Python in Mac OS X

This post helps you to use 'say' command in python

using 'say' command in python


__author__ = 'vijay'

# Run in Mac OS X

import os
import time

lyrics1 = " we were meant to be" \
          "like a destiny" \
          "can you fill it our baby baby " \
          "When you next to me " \
          "I can never see " \
          "anyone else but you baby "

lyrics2 = " coz gonna believe that" \
          "you sat them next to me " \
          "yesterday I was facebook talking you" \
          "now u sitting face to face with me" \
          "simple close i just dont what to do"

lyrics3 = " if you if you come to me baby i swear am gonna make you happy no no dont" \
          " you worry you know that am ready ready You are you are my ice cream lady " \
          "chocolate venila strawberry baby " \
          "if you get a minute bebe IM me facebook whatsapp just contact me " \
          " coz am ready for you baby come n get it, come n get it"

# List of voice options available in Say command
Female_Voices = ['Agnes', 'Kathy', 'Princess', 'Vicki', 'Victoria']

Male_Voices = ['Alex', 'Bruce', 'Fred', 'Junior', 'Ralph']

Novelty_Voices = ['Albert', 'Bad News', 'Bahh', 'Bells', 'Boing', 'Bubbles',
                  'Cellos', 'Deranged', 'Good News', 'Hysterical', 'Pipe Organ',
                  'Trinoids', 'Whisper', 'Zarvox']

all_voices = Female_Voices + Male_Voices + Novelty_Voices


for voice in all_voices:
    time.sleep(1)
    print "Voice is "+voice
    os.system("say -v "+voice+" Hey Hi this is "+voice+" Annd I gonna sing a song for you Baby ")

Comments

Post a Comment

Popular posts from this blog

Baby Step Giant Step Algorithm Python Code

#Baby Step Giant Step DLP problem y = a**x mod n #Example 70 = 2**x mod 131 y = 70 a = 2 n = 131 s = floor(sqrt(n)) A = [] B = [] for r in range(0,s): value = y*(a^r) % n A.append(value) for t in range(1,s+1): value = a^(t*s) % n B.append(value) print A print B x1,x2 =0,0 for r in A: for t in B: if r == t: x1 = A.index(r) x2 = B.index(t) print x1,x2 break print 'the value of x is ', ((x2+1)*s - x1) % n # Answer
Read more

Berlekamp–Massey algorithm

The Berlekamp–Massey algorithm is an algorithm that will find the shortest linear feedback shift register for a given binary output sequence. The algorithm will also find the minimal polynomial of a linearly recurrent sequence in an arbitrary field. I have used sage for computing this program. # Berlekamp-Massey Algorithm #from __future__ import print_function s = [GF(2)(0), 0, 1, 0, 0, 0, 0, 0, 1, 1, 0] #input sequence n = len(s) C = [GF(2)(1)] B = [GF(2)(1)] temp = [] T = [] L = 0 N = 0 m = -1 print '----- n',n print '-----------------------------------------------------------------------' while N < n: temp = B d = s[N] for i in range(1,L+1): d = d + C[i]*s[N-i] print '----- d ',d if d == 1: T = C temp = [ 0 for i in range(int(N-m))] + temp if len(C) < len(temp): C = C + [0 for i in range(len(temp)-len(C))] else: temp = temp +...
Read more

Python Speech recognition for Mac OS X

Hi Folks, I have been been searching for the    Python Speech recognition package especially for Mac OS.  I am not happy with the search results. Finally I got  https://pypi.python.org/pypi/SpeechRecognition/ (SpeechRecognition works only for the Linux distributions and Windows.) But I made it working for the Mac OS X by using flac.  Following are the instructions to make it run and modified code,  Prerequisite: Install Xcode in Unix Development mode Install Xcode - Command Line tools (Type ' xcode-select —install' in the terminal ) Install Port or Brew ( port    [or]   Brew   ) sudo brew install portaudio  [or]  sudo port install portaudio (for loading mic drivers) sudo pip install pyaudio [or] sudo easy_install install pyaudio (Mic Sources) sudo pip install SpeechRecognition [or] sudo easy_install install SpeechRecognition sudo port install flac Once you have finished w...
Read more