First Commit
PocketSphinx Just Barely works to recoginze 'Jade' as the wake word Using https://github.com/suno-ai/bark for the TTS part of the code
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21
LICENSE
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LICENSE
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MIT License
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Copyright (c) 2023 [fullname]
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Permission is hereby granted, free of charge, to any person obtaining a copy
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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7
intents.py
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intents.py
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def handle_intent(intent):
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if intent == "greeting":
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return "Hello, how can I assist you?"
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elif intent == "weather":
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return "The weather today is sunny."
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else:
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return "I'm sorry, I don't understand that command."
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main.py
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main.py
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import speech_recognition as sr
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from voice import say
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from intents import handle_intent
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# Define the wake word
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wake_word = "Jade"
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# Define the speech recognition function
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def recognize_speech():
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r = sr.Recognizer()
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with sr.Microphone() as source:
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print("Say something!")
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audio = r.listen(source)
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try:
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text = r.recognize_sphinx(audio)
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print(f"You said: {text}")
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if wake_word.lower() in text.lower():
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# Get the intent from the text
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intent = get_intent(text)
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response = handle_intent(intent)
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say(response)
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except sr.UnknownValueError:
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print("PocketSphinx could not understand audio")
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except sr.RequestError as e:
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print(f"PocketSphinx error; {e}")
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# Define the function to get the intent from text
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def get_intent(text):
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# TODO: implement intent recognition
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return "greeting"
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# Call the speech recognition function
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recognize_speech()
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voice.py
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voice.py
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import sounddevice as sd
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import numpy as np
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from bark import generate_audio, SAMPLE_RATE, preload_models
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preload_models()
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def say(text):
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audio_array = generate_audio(text, history_prompt="v2/en_speaker_9")
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audio_array = np.expand_dims(audio_array, axis=1)
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stream = sd.OutputStream(samplerate=SAMPLE_RATE, channels=1)
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stream.start()
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stream.write(audio_array)
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stream.stop()
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stream.close()
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