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pip install pyttsx3 pywin32 speechrecognition SpeechRecognition[faster-whisper]

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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)

#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)

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# TTS offline
import pyttsx3

e = pyttsx3.init()
txt = input('please input the text:')
e.say(txt)
e.save_to_file(txt,"pyttsx3.wav")
e.runAndWait()

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# ASR offline
import speech_recognition as sr

r = sr.Recognizer()
mic = sr.Microphone()
print("Start to record")
mic.__enter__()
audio = r.listen(mic)
result = r.recognize_faster_whisper(audio)
print("Result ", result)

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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)

# modify these code so I can set different voice effect 

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import edge_tts
import os

# ====================== CUSTOMIZABLE SETTINGS ======================
# Text you want to convert to speech
TEXT = "Hello World! This is a custom voice effect test."

# Voice name (change to your favorite voice)
VOICE = "en-US-AriaNeural"

# Voice effects parameters (adjust these values!)
# rate: speech speed → "+X%" faster, "-X%" slower; default = +0%
SPEECH_RATE = "+0%"

# volume: sound volume → "+X%" louder, "-X%" quieter; default = +0%
SPEECH_VOLUME = "+0%"

# pitch: voice tone → "+XHz" higher, "-XHz" lower; default = +0Hz
SPEECH_PITCH = "+0Hz"
# ===================================================================

# Generate TTS with custom effects
tts = edge_tts.Communicate(
    text=TEXT,
    voice=VOICE,
    rate=SPEECH_RATE,
    volume=SPEECH_VOLUME,
    pitch=SPEECH_PITCH
)

# Save and play the audio
OUTPUT_FILE = "tts_custom.mp3"
tts.save_sync(OUTPUT_FILE)
os.startfile(OUTPUT_FILE)

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# change /txt = "Hello World!"/ to this
txt = input('Please input the text you want to speak: ')

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import random
# Get a random integer from 1 to 10
num = random.randint(1, 10)
print(num)

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# Import edge_tts library for text-to-speech conversion
import edge_tts
# Import os library to play audio file
import os
# Import random library to get random speech speed
import random as rm
# Set text content
txt = input("Please input any words: ")
# Select voice tone
voice = "en-US-AriaNeural"
# Generate random speed value
speed_num = rm.randint(-20,20)
# Combine into standard speed format
random_speed = str(speed_num) + "%"
# Initialize TTS task
tts = edge_tts.Communicate(txt,voice,rate=random_speed)
# Define audio save path
path = "tts.mp3"
# Save audio file
tts.save_sync(path)
# Play audio automatically
os.startfile(path)
# Output current speed parameter
print("Current random speed: ",random_speed)

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str_num = "10"
int_num = 10
float_num = 10.0
# Show original data types
print("Original types:")
print("str_num:", str_num, type(str_num))
print("int_num:", int_num, type(int_num))
print("float_num:", float_num, type(float_num))
# Show the big difference: + operator behavior
print("Difference with + operator:")
print("String + String:", str_num + str_num)
print("Int + Int:", int_num + int_num)
print("Float + Float:", float_num + float_num)
# Convert between data types
print("Type conversion results:")
str_to_int = int(str_num)
print("String to Int:", str_to_int, type(str_to_int))
str_to_float = float(str_num)
print("String to Float:", str_to_float, type(str_to_float))
int_to_float = float(int_num)
print("Int to Float:", int_to_float, type(int_to_float))
float_to_int = int(float_num)
print("Float to Int:", float_to_int, type(float_to_int))
int_to_str = str(int_num)
print("Int to String:", int_to_str, type(int_to_str))