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| from pydub import AudioSegment | |
| import random | |
| def create_music_speech_mix(speech_path, music_path="data/instrumental.wav", output_path="data/output.wav"): | |
| """ | |
| Combine speech audio with background music at random position. | |
| Args: | |
| speech_path (str): Path to speech WAV file | |
| music_path (str): Path to music WAV file (default: data/instrumental.wav) | |
| output_path (str): Path for output WAV file (default: output.wav) | |
| Returns: | |
| tuple: (start_time_seconds, end_time_seconds) | |
| """ | |
| speech = AudioSegment.from_wav(speech_path) | |
| music = AudioSegment.from_wav(music_path) | |
| # Durations (in milliseconds) | |
| speech_len = len(speech) | |
| music_len = len(music) | |
| if speech_len > music_len: | |
| raise ValueError("Speech audio is longer than background music!") | |
| # Choose a random start point | |
| max_start = music_len - speech_len | |
| start_ms = random.randint(0, max_start) | |
| # Extract the music segment | |
| music_segment = music[start_ms : start_ms + speech_len] | |
| # Lower volume by 10db | |
| # music_segment = music_segment - 10 | |
| # Overlay speech on music | |
| combined = music_segment.overlay(speech) | |
| combined.export(output_path, format="wav") | |
| return output_path | |
| if __name__ == "__main__": | |
| output_path = create_music_speech_mix("tests/infer_cli_basic.wav") | |
| print(f"Created {output_path} using music") | |