Skip to main content

Tools for validating audio data, including feature extraction and visualization.

Project description

audio_validation

A Python library for validating and analysing audio data, including feature extraction, bit-exact verification against a reference, and waveform generation utilities.

Features

  • Feature extraction — compute RMS, peak/min/max, mean, FFT-based frequency detection, and per-channel audio onset offset for multi-channel captures.
  • Audio verification — validate a captured audio stream against a reference WAV file with drift-tolerant re-synchronisation, detailed mismatch reporting, and automatic artefact generation (PNG plots and WAV snippets).
  • Waveform generation — generate multi-channel WAV files with configurable waveforms: sine, square, sawtooth, white noise, and pink noise; supports 16-, 24-, and 32-bit PCM output.

Requirements

  • Python ≥ 3.11
  • See requirements.txt for runtime dependencies (numpy, scipy, sounddevice, pymodbus, …).

Installation

pip install audio_validation

Or, for development:

pip install -e ".[dev]"

Usage

Feature extraction

from audio_validation.audio_features import AudioFeatures

features = AudioFeatures.compute(
    samples=raw_samples,           # numpy array, shape (n_samples, n_channels)
    sample_rate=48000,
    expected_frequencies=[400, 800],
    tolerance=50,
)

for ch_idx, ch in enumerate(features.channels):
    print(f"Ch {ch_idx}: detected={ch.detected}, rms={ch.rms:.4f}, peaks={ch.peak_frequencies}")

Audio verification

from audio_validation.audio_verification import verify_audio

results = verify_audio(
    reference_path="reference.wav",
    detected_samples=captured_array,
    sample_rate=48000,
    artifacts_dir="test_artifacts/",
)

Waveform generation

from audio_validation.utils.audio_generation import generate_wave_file

generate_wave_file(
    shape="sine",
    freq_list=[1000.0],
    sample_rate=48000,
    duration=5.0,
    num_channels=2,
    active_channels=[0, 1],
    amplitude=0.05,
    resolution_bits=16,
    output_dir="output.wav",
)

Maintainers

License

See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

audio_validation-0.2.0.tar.gz (27.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

audio_validation-0.2.0-py3-none-any.whl (21.5 kB view details)

Uploaded Python 3

File details

Details for the file audio_validation-0.2.0.tar.gz.

File metadata

  • Download URL: audio_validation-0.2.0.tar.gz
  • Upload date:
  • Size: 27.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for audio_validation-0.2.0.tar.gz
Algorithm Hash digest
SHA256 4bbaadc5f3505d5c458a81df98342f9e751b291ae8f342df412e1c4b0d8b501d
MD5 263e7e7594c873033b5eb4a312b2bd5c
BLAKE2b-256 ce43260ec6cad5f76cc579b691cf4111b154226dae8a3a28d1e62531d6c98511

See more details on using hashes here.

File details

Details for the file audio_validation-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audio_validation-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30d6c8afe25eadcb014545d0903fc96eb40279bd9c11798215282ea2d693360b
MD5 2440ee690389f896fdf75c931586570d
BLAKE2b-256 33188c16cb95ffaa9f0bb194fdd0f46ac22ba0c1bf16a944475b1a1c3050d5f7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page