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Merge pull request Python-World#512 from 19lyaejin/master
New Project (in subfolder): Speaking_Dictionary
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‎projects/Speaking_Dictionary/README.md‎

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# Speaking Dictionary
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Speaking Dictionary is Python program that allows the user to find the meaning of English word by speaking it directly to the program(device). Then, the program(device) will directly explain the definition of the word out loud.
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### Prerequisites
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pyttsx3: pip install pyttsx3
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PyDictionary: pip install PyDictionary
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speech recognition: pip install SpeechRecognition
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gTTS: pip install gtts
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+pip install pyaudio
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### How to run the script
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SpeakingDictionary.py
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### Screenshot/GIF showing the sample use of the script
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[SpeakingDictionary](https://user-images.githubusercontent.com/69775935/140873415-dc79bdd7-d36e-4ca5-ae6f-4da88837f5f0.png)
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### Author Name
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Yaejin Lee : 19lyaejin, https://github.com.19lyaejin

‎projects/Speaking_Dictionary/SpeakingDictionary.py‎

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import pyttsx3
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from PyDictionary import PyDictionary
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import speech_recognition as spr
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from gtts import gTTS
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import os
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#Speaking class
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class Speak:
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def SpeakWord(self, audio):
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#Having initial constructor of pyttsx3
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pSpeakEngine= pyttsx3.init('sapi5')
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pVoices= pSpeakEngine.getProperty('voices')
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#Speaking audio that got as parameter
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pSpeakEngine.setProperty('voices', pVoices[0].id)
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pSpeakEngine.say(audio)
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pSpeakEngine.runAndWait()
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#Create Recognizer, Microphone instance
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sRecog= spr.Recognizer()
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sMic= spr.Microphone()
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#Capture voice from microphone
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with sMic as source:
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print("Speak 'Hello' to initiate Speaking Dictionary!")
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print("----------------------------------------------")
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sRecog.adjust_for_ambient_noise(source, duration= .2)
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rAudio= sRecog.listen(source)
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szHello= sRecog.recognize_google(rAudio, language= 'en-US')
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szHello= szHello.lower()
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#If you said 'Hello', initialize the speaking dictionary
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if 'hello' in szHello:
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sSpeak= Speak()
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pDict= PyDictionary()
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print("Which word do you want to find? Please speak slowly.")
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sSpeak.SpeakWord("Which word do you want to find Please speak slowly")
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try:
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sRecog2= spr.Recognizer()
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sMic2= spr.Microphone()
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#Capture the word that the user want to find the meaning of
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with sMic2 as source2:
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sRecog2.adjust_for_ambient_noise(source2, duration= .2)
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rAudio2= sRecog2.listen(source2)
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szInput= sRecog2.recognize_google(rAudio2, language= 'en-US')
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try:
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#Make sure that the recognizer got the correct word
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print("Did you said "+ szInput+ "? Please answer with yes or no.")
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sSpeak.SpeakWord("Did you said "+ szInput+ "Please answer with yes or no")
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sRecog2.adjust_for_ambient_noise(source2, duration= .2)
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rAudioYN= sRecog2.listen(source2)
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szYN= sRecog2.recognize_google(rAudioYN)
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szYN= szYN.lower()
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#If the user said 'yes' (When the recognizer got the correct word)
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if 'yes' in szYN:
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szMeaning= pDict.meaning(szInput)
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print("The meaning is ", end="")
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for i in szMeaning:
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print(szMeaning[i])
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sSpeak.SpeakWord("The meaning is"+ str(szMeaning[i]))
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#When the recognizer got the wrong word
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else: sSpeak.SpeakWord("I am sorry Please try again")
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#When the recognizer couldn't understand the answer(yes or no)
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except spr.UnknownValueError: sSpeak.SpeakWord("Unable to understand the input Please try again")
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except spr.RequestError as e: sSpeak.SpeakWord("Unable to provide required output")
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#When the recognizer couldn't understand the word
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except spr.UnknownValueError: sSpeak.SpeakWord("Unable to understand the input Please try again")
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except spr.RequestError as e: sSpeak.SpeakWord("Unable to provide required output")
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‎projects/Speaking_Dictionary/requirements.txt‎

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# Speaking Dictionary Requirements
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### prerequisites: pyttsx3, PyDictionary, speech_recognition, gTTS, pyaudio
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pyttsx3: pip install pyttsx3
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PyDictionary: pip install PyDictionary
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speech_recognition: pip install SpeechRecognition
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gTTS: pip install gtts
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pyaudio: pip install pyaudio

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