57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Theoretical Upgrade Test
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from piper.voice import PiperVoice # Backbone of text to speech
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import pyaudio
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import os
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import subprocess
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import time
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from piper.voice import SynthesisConfig
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result = subprocess.run(["xsel"], capture_output=True, text=True) # In Theory grab selected text into Varible called TextToSpeak
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#print(result) # In Theory grab selected text and print ot to terminal
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texttospeak = str(result.stdout)
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print(texttospeak)
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# texttospeak = "Welcome to the world of speech synthesis! This is an example of text-to-speech using Piper TTS."
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#voice = PiperVoice.load("~/en_US-amy-medium.onnx") # Load the model
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voicedir = os.path.expanduser('~') #Where onnx model files are stored on my machine
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model = voicedir+"/en_GB-alba-medium.onnx"
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voice = PiperVoice.load(model)
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syn_config = SynthesisConfig(
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volume=0.5, # half as loud
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length_scale=2.0, # twice as slow
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noise_scale=0.0, # more audio variation
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noise_w_scale=0.0, # more speaking variation
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normalize_audio=False, # use raw audio from voice
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)
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chunks = voice.synthesize(texttospeak, syn_config=syn_config) # Set up Piper to stream audio from TextToSpeak
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Lenght = str(len(chunks))
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print(f"There are {Lenght} Chunks.") # Print the amount of chunks
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first_chunk = next(chunks) # Get the first chunk to set up audio stream configuration
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try:
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print(first_chunk.sample_rate)
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except:
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print("Failed getting sample rate?")
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p = pyaudio.PyAudio()
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stream = p.open( # Open audio stream with correct settings
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format=p.get_format_from_width(first_chunk.sample_width),
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channels=first_chunk.sample_channels,
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rate=first_chunk.sample_rate,
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output=True,
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)
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stream.write(first_chunk.audio_int16_bytes) # Play the first chunk
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for chunk in chunks: # Play subsequent chunks of audio
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stream.write(chunk.audio_int16_bytes)
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# Cleanup
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stream.stop_stream()
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stream.close()
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p.terminate() |