Integration of Dragon Naturallyspeaking System with Microsoft Speech API Using pyttsx Library (native text-to-speech libraries) of Python

1. The power of voice
!
Presented by:
SAI SUBRAMANIAM.V
SAI KRISHNA.M

2. Introduction :
 Your voice is the most efficient way to communicate. Voice
Code is a concise spoken language that controls your
computer in real-time.
 Voice Code is different from other voice-command solutions
in that commands can be chained and nested in any
combination, allowing complex actions to be performed by a
single spoken phrase.
 By taking advantage of your brain’s natural aptitude for
language you can control your computer more efficiently and
naturally. It really feels like you’re in the future!

3. Let your Brain
“SPEAK”
 Limitless possibilities start to unfold,
when your mind starts thinking in terms
of what results it is trying to achieve,
instead of a computer to achieve those
results. Our brains are perfectly adapted
for language expression, which results
in complex series of commands to flow
with almost no thought required.

4. Voice code is the
future !
 If you have tried voice recognition, especially
if it was a few years ago, you probably think
that the project is doomed to failure. Even if
you tried voice recognition recently, and
discovered it has got a lot better, you
probably still think that talking your code isn't
going to work?

5. Voice response:
 The Dragon Naturally Speaking system
used by Rudd supported standard
language quite well, but it wasn't adapted
to program editing commands. The solution
was to use a Python speech extension.
 Instead of English words for commands he
used short vocalizations
 The advantage is that it is faster and the
recognition is easier - it also sounds very
cool and very techie.

6. Python – ’ The Powerful ’
 Python is one of the most popular
programming languages that has many
open libraries for speech recognition and
synthesis.
 Python libraries offer voice recognition and
speech synthesis with pyttsx — an offline,
free and open source resource.

7. Implementation :
 To use it, you need to install JPercent’s version
of pyttsx by running the command pip install
pyttsx. For Windows, you should
install PyWin32 and Microsoft Speech API.
 For speech recognition , this great resource offers
the freedom to use Sphinx project to convert the
audio input into a text.
 The other way is to use Google services
and Wit.ai to do the same with the help of Speech
Recognition.

8. Sample code:
import speech_recognition
import pyttsx
speech_engine = pyttsx.init('sapi5') # see http://pyttsx.readthedocs.org/en/latest/engine.html#pyttsx.init
speech_engine.setProperty('rate', 150)
def speak(text):
speech_engine.say(text)
speech_engine.runAndWait()
recognizer = speech_recognition.Recognizer()
def listen():
with speech_recognition.Microphone() as source:
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
try:
return recognizer.recognize_sphinx(audio)
# or: return recognizer.recognize_google(audio)
except speech_recognition.UnknownValueError:
print("Could not understand audio")
except speech_recognition.RequestError as e:
print("Recog Error; {0}".format(e))
return ""
speak("Say something!")
speak("I heard you say " + listen())

9. Requirements and
resources:
 Dragnon Naturally Speaking - The advantage of using the
Premium Edition, based on talking to the rep from
Nuance, is that the Premium edition will let you the voice
training directly from DNS.
 Windows 8.1
 DragonFly
 Natlink / Unicode
 Python 2.7
 Virtualization Software (VMWare, VirtualBox, Parallels) if
you are setting this up on Mac OS X or Linux
 Dragon Naturally Speaking
(http://www.nuance.com/dragon/index.htm)
 DragonFly (http://code.google.com/p/dragonfly/)
 Unimacro (http://qh.antenna.nl/unimacro/index.html)

10. Demerits :
 Lack of Accuracy and Misinterpretation
 Time Costs and Productivity
 Accents and Speech Recognition
 Background Noise Interference
 Physical Side Effects
 More number of functions for voices files
to be included for coding.

11. THE END