Parse an Ableton ASD clip file and its warp markers in Python. This module has been tested with .asd files saved with Ableton 9 and Ableton 10.

Note: Ableton Live 12 uses a different binary format that is not yet supported by this library.

pip install abletonparsing

To run the tests, you'll need to install additional dependencies:

# On macOS
brew install rubberband
# On Ubuntu/Debian
sudo apt-get install -y rubberband-cli
# Install Python test dependencies
pip install abletonparsing[test]
# or
pip install -e ".[test]"  # for development

Clip class:

• .loop_on - ( bool , READ/WRITE ) - Loop toggle is on
• .start_marker - ( float , READ/WRITE ) - Start marker in beats relative to 1.1.1
• .end_marker - ( float , READ/WRITE ) - End marker in beats relative to 1.1.1
• .loop_start - ( float , READ/WRITE ) - Loop start in beats relative to 1.1.1
• .loop_end - ( float , READ/WRITE ) - Loop end in beats relative to 1.1.1
• .hidden_loop_start - ( float , READ/WRITE ) - Hidden loop start in beats relative to 1.1.1
• .hidden_loop_end - ( float , READ/WRITE ) - Hidden loop end in beats relative to 1.1.1
• .warp_markers - ( list[WarpMarker] , READ/WRITE ) - List of warp markers
• .warp_on - ( bool , READ/WRITE ) - Warping is on
• .sr - ( float , READ/WRITE ) - Sample rate of audio data

WarpMarker class:

• .seconds - ( float , READ/WRITE ) - Position in seconds in the audio data.
• .beats - ( float , READ/WRITE ) - Position in "beats" (typically quarter note) relative to 1.1.1

If loop_on is false, then loop_start will equal the start_marker, and loop_end will equal the end_marker.

import abletonparsing
import librosa
import soundfile as sf
import pyrubberband as pyrb
bpm = 130.
audio_path = 'drums.wav'
clip_path = audio_path + '.asd'
audio_data, sr = librosa.load(audio_path, sr=None, mono=False)
num_samples = audio_data.shape[1]
clip = abletonparsing.Clip(clip_path, sr, num_samples)
time_map = clip.get_time_map(bpm)
# Time-stretch the audio to the requested bpm.
output_audio = pyrb.timemap_stretch(audio_data.transpose(), sr, time_map)
with sf.SoundFile('output.wav', 'w', sr, 2, 'PCM_24') as f:
	f.write(output_audio)