technical difficulties intro
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import sys
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import numpy as np
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from scipy.io import wavfile
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from scipy import signal
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def resample_audio(audio, original_sr, target_sr):
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number_of_samples = round(len(audio) * float(target_sr) / original_sr)
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return signal.resample(audio, number_of_samples)
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def noise_shape_and_quantize(signal, bits):
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steps = 2 ** bits
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step_size = (signal.max() - signal.min()) / steps
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shaped = np.zeros_like(signal)
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error = np.zeros_like(signal)
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for i in range(len(signal)):
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shaped[i] = signal[i] - error[i]
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quantized = np.round(shaped[i] / step_size) * step_size
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error[i] = quantized - signal[i]
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if i < len(signal) - 1:
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error[i + 1] = error[i] * 0.5 # Simple first-order noise shaping
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shaped[i] = quantized
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return np.clip(shaped, signal.min(), signal.max())
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# Read the WAV file
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original_sr, data = wavfile.read(sys.argv[1])
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data = data.astype(float)
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data = data / np.max(np.abs(data))
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# Define target sample rate
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target_sr = 5000 # 6 kHz
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# Resample the audio
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resampled_data = resample_audio(data, original_sr, target_sr)
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# Apply noise shaping and quantization
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quantized = noise_shape_and_quantize(resampled_data, 4)
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# Scale to 0-15 range and round to integers
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scaled = np.round((quantized - quantized.min()) / (quantized.max() - quantized.min()) * 15).astype(int)
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scaled = np.clip(scaled, 0, 15)
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print("Min value:", scaled.min())
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print("Max value:", scaled.max())
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print("Unique values:", np.unique(scaled))
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# Pack 4-bit values into bytes
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packed = []
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for i in range(0, len(scaled), 2):
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if i + 1 < len(scaled):
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byte = (scaled[i] << 4) | scaled[i + 1]
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else:
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byte = scaled[i] << 4
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packed.append(byte)
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# Write packed data to binary file
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with open(sys.argv[1]+'.bin', 'wb') as f:
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f.write(bytes(packed))
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print(f"Packed 4-bit data written to output.bin")
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print(f"Original sample rate: {original_sr} Hz")
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print(f"New sample rate: {target_sr} Hz")
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print(f"Number of samples: {len(scaled)}")
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print(f"Duration: {len(scaled) / target_sr:.2f} seconds")
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# Print first few bytes in hex
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print("First 10 bytes in hex:")
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print(" ".join(f"{b:02X}" for b in packed[:10]))
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# Save the resampled audio as a WAV file for verification
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# Correctly scale back to 16-bit audio range
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wav_output = (scaled.astype(float) - 7.5) / 7.5 # Center around 0
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wav_output = (wav_output * 32767).astype(np.int16) # Scale to 16-bit range
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#wavfile.write('resampled_output.wav', target_sr, wav_output)
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