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import azure.cognitiveservices.speech as speechsdk

import time

from datetime import datetime

# from main import settings, already_spoken, output_folder

from sounds import play_sound

import simpleaudio as sa

from dotenv import load_dotenv

import os

import sounddevice as sd

# List the available audio devices and their IDs

devices = sd.query_devices()

for i, device in enumerate(devices):

# print(device)

print(f"Device {i}: {device['name']} (ID: {device['index']})")

load_dotenv(override=True)

settings = {

'speechKey': os.environ.get('SPEECH_KEY'),

'region': os.environ.get('SPEECH_REGION'),

# Feel free to hardcode the language

'language': os.environ.get('SPEECH_LANGUAGE'),

'openAIKey': os.environ.get('OPENAI_KEY')

}

prop = False

# Some sounds need to be generated over and over, like "thank you" or "I didn't get that".

# There is no need to waste money re-generating them, so we will keep track of them here

already_spoken = {}

def Start_recording(output_folder):

# Creates an instance of a speech config with specified subscription key and service region.

speech_config = speechsdk.SpeechConfig(

subscription=settings['speechKey'], region=settings['region'])

speech_config.request_word_level_timestamps()

speech_config.set_property(

property_id=speechsdk.PropertyId.SpeechServiceResponse_OutputFormatOption, value="detailed")

# Creates a speech recognizer using the default microphone (built-in).

audio_config = speechsdk.audio.AudioConfig(use_default_microphone=True)

speech_recognizer = speechsdk.SpeechRecognizer(

speech_config=speech_config, audio_config=audio_config)

# initialize some variables

results = []

done = False

# update the last time speech was detected.

def speech_detected():

nonlocal lastSpoken

lastSpoken = int(datetime.now().timestamp() * 1000)

# Event handler to add event to the result list

def handleResult(evt):

import json

nonlocal results

nonlocal lastSpoken

results.append(json.loads(evt.result.json))

# print the result (optional, otherwise it can run for a few minutes without output)

# print('RECOGNIZED: {}'.format(evt))

speech_detected()

# result object

res = {'text': evt.result.test, 'timestamp': evt.result.offset,

'duration': evt.result.duration, 'raw': evt.result}

if (evt.result.text != ""):

results.append(res)

# print(evt.result)

# Event handler to check if the recognizer is done

def stop_cb(evt):

# print('CLOSING on {}'.format(evt))

speech_recognizer.stop_continuous_recognition()

nonlocal done

done = True

# Connect callbacks to the events fired by the speech recognizer & displays the info/status

# Ref:https://docs.microsoft.com/en-us/python/api/azure-cognitiveservices-speech/azure.cognitiveservices.speech.eventsignal?view=azure-python

speech_recognizer.recognizing.connect(lambda evt: speech_detected())

# speech_recognizer.recognized.connect(lambda evt: print('RECOGNIZED: {}'.format(evt)))

speech_recognizer.session_started.connect(

lambda evt: print('SESSION STARTED: {}'.format(evt)))

speech_recognizer.session_stopped.connect(

lambda evt: print('SESSION STOPPED {}'.format(evt)))

speech_recognizer.canceled.connect(

lambda evt: print('CANCELED {}'.format(evt)))

speech_recognizer.recognized.connect(handleResult)

speech_recognizer.session_stopped.connect(stop_cb)

speech_recognizer.canceled.connect(stop_cb)

# Start speech recognition

result_future = speech_recognizer.start_continuous_recognition_async()

result_future.get()

# Play sound to indicate that the recording session is on.

play_sound()

lastSpoken = int(datetime.now().timestamp() * 1000)

# Wait for speech recognition to complete

while not done:

time.sleep(1)

now = int(datetime.now().timestamp() * 1000)

inactivity = now - lastSpoken

# print(inactivity)

# After 1 second of no speech detected, play a sound to indicate the recoding session could close.

if (inactivity > 1000):

play_sound()

if (inactivity > 3000): # Close the recoding session if no input is detected after 3s

print('Stopping async recognition.')

speech_recognizer.stop_continuous_recognition_async()

speak("Thank you!")

while not done:

time.sleep(1)

output = ""

for res in results:

output += res['NBest'][0]['Display']

return results

def speak(text, silent=False, output_folder="./Output"):

if text in already_spoken: # if the speech was already synthetized

if not silent:

play_obj = sa.WaveObject.from_wave_file(

already_spoken[text]).play()

play_obj.wait_done()

return

# This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"

speech_config = speechsdk.SpeechConfig(

subscription=settings['speechKey'], region=settings['region'])

# audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)

file_name = f'{output_folder}/{datetime.now().strftime("%Y%m%d_%H%M%S")}.wav'

audio_config = speechsdk.audio.AudioOutputConfig(

use_default_speaker=True, filename=file_name)

# The language of the voice that speaks.

speech_config.speech_synthesis_voice_name = 'en-US-JennyNeural'

speech_synthesizer = speechsdk.SpeechSynthesizer(

speech_config=speech_config, audio_config=audio_config)

speech_synthesis_result = speech_synthesizer.speak_text(text) # .get()

if speech_synthesis_result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:

print("Speech synthesized for text [{}]".format(text))

if not silent:

play_obj = sa.WaveObject.from_wave_file(file_name).play()

play_obj.wait_done()

already_spoken[text] = file_name

elif speech_synthesis_result.reason == speechsdk.ResultReason.Canceled:

cancellation_details = speech_synthesis_result.cancellation_details

print("Speech synthesis canceled: {}".format(

cancellation_details.reason))

if cancellation_details.reason == speechsdk.CancellationReason.Error:

if cancellation_details.error_details:

print("Error details: {}".format(

cancellation_details.error_details))

print("Did you set the speech resource key and region values?")

def speak_ssml(text):

# This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"

speech_config = speechsdk.SpeechConfig(

subscription=settings['speechKey'], region=settings['region'])

# audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)

# The language of the voice that speaks.

speech_config.speech_synthesis_voice_name = 'en-US-JennyNeural'

speech_synthesizer = speechsdk.SpeechSynthesizer(

speech_config=speech_config, audio_config=None)

speech_synthesis_result = speech_synthesizer.speak_ssml(

text) # .speak_text(text) #.get()

if speech_synthesis_result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:

print("Speech synthesized for text [{}]".format(text))

elif speech_synthesis_result.reason == speechsdk.ResultReason.Canceled:

cancellation_details = speech_synthesis_result.cancellation_details

print("Speech synthesis canceled: {}".format(

cancellation_details.reason))

if cancellation_details.reason == speechsdk.CancellationReason.Error:

if cancellation_details.error_details:

print("Error details: {}".format(

cancellation_details.error_details))

print("Did you set the speech resource key and region values?")