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