Pycharm

Learning Objectives

1. Launch PyCharm and create new Python projects and files correctly.

2. Use PyCharm terminal and pip commands to install required third-party libraries.

3. Run Python ASR and TTS scripts and experience voice interaction functions.

4. Modify key code parameters to achieve different ASR and TTS effects.

5. Understand and apply basic Python syntax such as import, print, variable, comments, functions and parameters.

6. (Extra) Combine ASR and TTS codes to implement a simple voice chat.

Activity 1 PyCharm Basic Operation

Launch PyCharm

Create a new Python project and sample py file.

Recognize project directory, code editing area.

Copy and run a simple hello world code

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print('Hello World')

Change the code to run again

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print('Anything that you like')

Activity 2 Library Installation & Environment Configuration

Open the built-in terminal window in PyCharm.

Input standard pip commands to install speechrecognition, pyaudio and edge-tts libraries.

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pip install speechrecognition pyaudio edge-tts

Check the installation feedback information to confirm successful configuration.

Activity 3 Run & Experience ASR & TTS Program

Copy and run official ASR sample code.

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#ASR
import speech_recognition as sr
rec = sr.Recognizer()
mic = sr.Microphone()
print("Start to record")
mic.__enter__()
audio = rec.listen(mic)
txt = rec.recognize_google(audio, language='en-US')
print("Result ", txt)

Speak English sentences to test online voice recognition (ASR).

Check the text recognition results printed on the console.

Copy and run official TTS sample code.

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#TTS
import edge_tts
import os
# You can change "Hello World!" to any text
txt = "Hello World!"
voice = "en-US-AriaNeural"
tts = edge_tts.Communicate(txt, voice)
path = "tts.mp3"
tts.save_sync(path)
os.startfile(path)

Listen to the automatic speech synthesis and playback (TTS).

Confirm the generated audio file is saved successfully.

Activity 4 Code Modification & Effect Debugging

Locate the TTS voice parameter and text content in the code.

Modify English voice types (male/female neural voice).

Change custom text content for speech synthesis.

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txt = "Anything you like"

Adjust audio file save name and path parameters.

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path = 'anywhere.mp3'

Re-run the program and compare different TTS effects.

Modify the ASR code to recognise different language.

Activity 5 Syntax Learning Test

1. Mark core syntax lines including import, print and comments in code.

2. Identify function structures and adjustable parameters in the script.

3. Finish teacher’s syntax checking questions.

(Extra) Activity 6 Advanced Integrated Task

1. Integrate two functional modules into one complete program.

2. Realize the process of voice input → text recognition → automatic voice playback.

3. Debug program errors to ensure stable one-click operation.

4. Complete the full closed-loop voice interaction function.