MP3 Processing File System
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An MP3 File Processing System is a file processing system that performs MP3 file processing operations (on MP3 files).
- Context:
- It can (typically) perform operations such as converting audio files to and from MP3 format, editing MP3 files (e.g., trimming, merging), analyzing MP3 files for properties like bit rate and frequency, and tagging MP3 files with metadata.
- It can (often) support batch processing of multiple MP3 files, allowing for efficient handling of large collections of audio files.
- It can (typically) include MP3 Encoding System functionalities to adjust various encoding parameters like bit rate, sampling rate, and channel mode.
- It can (often) have capabilities to repair damaged or corrupt MP3 files, recovering them to a playable state.
- It can (typically) provide user interfaces ranging from command-line interfaces for advanced users to graphical user interfaces for more general users.
- It can (often) integrate with digital audio workstations and other audio editing software for more complex audio production and manipulation tasks.
- ...
- Example(s):
- An audio editing software with MP3 support that allows users to cut, join, and apply effects to MP3 files.
- A batch audio converter that can convert multiple files between MP3 and other audio formats.
- A tag editor designed specifically for editing the ID3 tags of MP3 files.
- Counter-Example(s):
- An image editing software, which manipulates image files rather than audio files.
- A video processing system, which is intended for digital video files and not specifically for audio or MP3 files.
- See: MP3 File, MP3 Format, Lossy Data Compression, Digital Audio, Psychoacoustics, Bit Rate, Sampling Rate, Metadata, ID3 Tag, MP3 Encoding System, Audio Editing Software, Digital Audio Workstation.
References
2023
file_path="file.mp3"
def seconds_to_hms(seconds):
hours = int(seconds // 3600)
minutes = int((seconds % 3600) // 60)
seconds = int(seconds % 60)
return f"{hours:02d}:{minutes:02d}:{seconds:02d}"
import tinytag
from tinytag import TinyTag
- Get the tag of the file
tag = TinyTag.get(file_path)
- Print out metadata
duration_hms = seconds_to_hms(tag.duration)
print(f"Title: {tag.title}")
print(f"Artist: {tag.artist}")
print(f"Album: {tag.album}")
print(f"Year: {tag.year}")
print(f"Track Number: {tag.track}")
print(f"Genre: {tag.genre}")
print(f"Duration: {duration_hms}")
from pydub import AudioSegment
import os
def split_mp3_with_overlap(file_path, num_chunks, overlap_duration):
# Load the MP3 file
audio = AudioSegment.from_mp3(file_path)
# Calculate total length of the audio in milliseconds
total_length = len(audio)
# Convert total length to hours, minutes, and seconds
total_length_hr, total_length_min, total_length_sec = convert_ms_to_time(total_length)
# Debug: Report total duration of the MP3 file
print(f"Total duration of the file: {total_length_hr} hours, {total_length_min} minutes, {total_length_sec} seconds")
# Convert overlap duration from minutes to milliseconds
overlap_ms = overlap_duration * 60 * 1000
# Adjust total length to exclude overlaps from the calculation
adjusted_total_length = total_length - overlap_ms * (num_chunks - 1)
# Ensure the adjusted total length is not less than 0
adjusted_total_length = max(adjusted_total_length, 0)
# Calculate the duration of each chunk without considering the overlap for the first calculation
chunk_duration = adjusted_total_length / num_chunks
# Extract base file name without extension
base_name = os.path.splitext(os.path.basename(file_path))[0]
for i in range(num_chunks):
# Calculate the start and end times for each chunk considering the overlap only for the start time
start_time = i * chunk_duration + min(i * overlap_ms, total_length)
end_time = start_time + chunk_duration + overlap_ms
# Make sure the end time does not exceed the total length of the audio
end_time = min(end_time, total_length)
# Slice the audio for the chunk
chunk = audio[start_time:end_time]
# Debug: Report duration of each chunk in a human-readable format
chunk_duration_min, chunk_duration_sec = divmod((end_time - start_time) / 1000, 60)
print(f"Chunk {i+1}: Duration = {int(chunk_duration_min)} minutes, {int(chunk_duration_sec)} seconds")
# Export chunk as MP3 with original file name as prefix and chunk number as suffix
chunk.export(f"{base_name}_chunk_{i+1}.mp3", format="mp3")
def convert_ms_to_time(duration_ms):
"""
Convert milliseconds to hours, minutes, and seconds.
"""
seconds = (duration_ms / 1000) % 60
minutes = (duration_ms / (1000 * 60)) % 60
hours = (duration_ms / (1000 * 60 * 60))
return int(hours), int(minutes), int(seconds)
- Example usage:
split_mp3_with_overlap(file_path, num_chunks=3, overlap_duration=1)