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| from pydub.silence import detect_nonsilent | |
| from pydub import AudioSegment | |
| import numpy as np | |
| import re | |
| import os | |
| from rvc.lib.utils import format_title | |
| def process_audio(file_path): | |
| try: | |
| # load audio file | |
| song = AudioSegment.from_file(file_path) | |
| # set silence threshold and duration | |
| silence_thresh = -70 # dB | |
| min_silence_len = 750 # ms, adjust as needed | |
| # detect nonsilent parts | |
| nonsilent_parts = detect_nonsilent(song, min_silence_len=min_silence_len, silence_thresh=silence_thresh) | |
| # Create a new directory to store chunks | |
| file_dir = os.path.dirname(file_path) | |
| file_name = os.path.basename(file_path).split('.')[0] | |
| file_name = format_title(file_name) | |
| new_dir_path = os.path.join(file_dir, file_name) | |
| os.makedirs(new_dir_path, exist_ok=True) | |
| # Check if timestamps file exists, if so delete it | |
| timestamps_file = os.path.join(file_dir, f"{file_name}_timestamps.txt") | |
| if os.path.isfile(timestamps_file): | |
| os.remove(timestamps_file) | |
| # export chunks and save start times | |
| segment_count = 0 | |
| for i, (start_i, end_i) in enumerate(nonsilent_parts): | |
| chunk = song[start_i:end_i] | |
| chunk_file_path = os.path.join(new_dir_path, f"chunk{i}.wav") | |
| chunk.export(chunk_file_path, format="wav") | |
| print(f"Segment {i} created!") | |
| segment_count += 1 | |
| # write start times to file | |
| with open(timestamps_file, "a", encoding="utf-8") as f: | |
| f.write(f"{chunk_file_path} starts at {start_i} ms\n") | |
| print(f"Total segments created: {segment_count}") | |
| print(f"Split all chunks for {file_path} successfully!") | |
| return "Finish", new_dir_path | |
| except Exception as e: | |
| print(f"An error occurred: {e}") | |
| return "Error", None | |
| def merge_audio(timestamps_file): | |
| try: | |
| # Extract prefix from the timestamps filename | |
| prefix = os.path.basename(timestamps_file).replace('_timestamps.txt', '') | |
| timestamps_dir = os.path.dirname(timestamps_file) | |
| # Open the timestamps file | |
| with open(timestamps_file, "r", encoding="utf-8") as f: | |
| lines = f.readlines() | |
| # Initialize empty list to hold audio segments | |
| audio_segments = [] | |
| last_end_time = 0 | |
| print(f"Processing file: {timestamps_file}") | |
| for line in lines: | |
| # Extract filename and start time from line | |
| match = re.search(r"(chunk\d+.wav) starts at (\d+) ms", line) | |
| if match: | |
| filename, start_time = match.groups() | |
| start_time = int(start_time) | |
| # Construct the complete path to the chunk file | |
| chunk_file = os.path.join(timestamps_dir, prefix, filename) | |
| # Add silence from last_end_time to start_time | |
| silence_duration = max(start_time - last_end_time, 0) | |
| silence = AudioSegment.silent(duration=silence_duration) | |
| audio_segments.append(silence) | |
| # Load audio file and append to list | |
| audio = AudioSegment.from_wav(chunk_file) | |
| audio_segments.append(audio) | |
| # Update last_end_time | |
| last_end_time = start_time + len(audio) | |
| print(f"Processed chunk: {chunk_file}") | |
| # Concatenate all audio_segments and export | |
| merged_audio = sum(audio_segments) | |
| merged_audio_np = np.array(merged_audio.get_array_of_samples()) | |
| #print(f"Exported merged file: {merged_filename}\n") | |
| return merged_audio.frame_rate, merged_audio_np | |
| except Exception as e: | |
| print(f"An error occurred: {e}") |