Description #

Audio filter processor, a flexible audio effects application based on FFmpeg.

Key features #

• Apply common audio filters (volume, highpass, lowpass, bass, treble, aecho, and more) using FFmpeg.
• Supports automatic download and processing for both local paths and TOS/S3 remote paths.
• Supports uploading processed results to TOS or returning binary results.

Format support #

• MP3 (.mp3)
• WAV (.wav)
• FLAC (.flac)
• OGG (.ogg)
• AAC (.aac)
• M4A (.m4a)

Reference documentation: https://ffmpeg.org/ffmpeg-filters.html#Audio-Filters

Operator parameters #

Input #

Output #

The processed struct fields include:

• processed_audio_path: str, the path of the processed audio (local or TOS)
• processed_audio_binary: bytes, the binary content of the processed audio (when output_audio_binary=True)

Parameters #

If a parameter does not have a default value, it is required.

Examples #

The following code demonstrates how to use Daft (for distributed scenarios) to run the operator and apply FFmpeg filters to audio.

from __future__ import annotations

import os

import daft
from daft import col
from daft.las.functions.audio.audio_ffmpeg_wrapped import AudioFFMPEGWrapped
from daft.las.functions.udf import las_udf

if __name__ == "__main__":

    # After processing, the audio will be saved to the specified TOS path. Therefore, you need to set environment variables to ensure write access to TOS, including: ACCESS_KEY, SECRET_KEY, TOS_ENDPOINT, TOS_REGION, TOS_TEST_DIR
    TOS_DIR = os.getenv("TOS_TEST_DIR", "tos_bucket")
    output_tos_dir = f"tos://{TOS_DIR}/audio/audio_ffmpeg_wrapped"

    if os.getenv("DAFT_RUNNER", "native") == "ray":
        import logging

        import ray

        def configure_logging():
            logging.basicConfig(
                level=logging.INFO,
                format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
                datefmt="%Y-%m-%d %H:%M:%S.%s".format(),
            )
            logging.getLogger("tracing.span").setLevel(logging.WARNING)
            logging.getLogger("daft_io.stats").setLevel(logging.WARNING)
            logging.getLogger("DaftStatisticsManager").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaScheduler").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaDispatcher").setLevel(logging.WARNING)

        ray.init(dashboard_host="0.0.0.0", runtime_env={"worker_process_setup_hook": configure_logging})
        daft.set_runner_ray()
    daft.set_execution_config(actor_udf_ready_timeout=600)
    daft.set_execution_config(min_cpu_per_task=0)

    # Construct the URL using environment variables
    tos_dir_url = os.getenv("TOS_DIR_URL", "las-cn-beijing-public-online.tos-cn-beijing.volces.com")
    samples = {
        "audio_path": [
            f"https://{tos_dir_url}/public/shared_audio_dataset/sample.mp3"
        ]
    }

    ds = daft.from_pydict(samples)

    splitter = las_udf(
        AudioFFMPEGWrapped,
        construct_args={
            "filter_name": "volume",
            "filter_kwargs": {"volume": 1.5},
            "global_args": ["-loglevel", "error", "-hide_banner", "-y"],
            "output_tos_dir": output_tos_dir,
            "output_audio_binary": False,
            "output_audio_format": "wav",
        },
    )

    ds = ds.with_column("results", splitter(col("audio_path")))

    ds.show()
    # ╭─────────────────────────────────────────┬────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
    # │ audio_path                              ┆ results                                                                                                                            │
    # │ ---                                     ┆ ---                                                                                                                                │
    # │ Utf8                                    ┆ Struct[processed_audio_path: Utf8, processed_audio_binary: Binary]                                                                 │
    # ╞═════════════════════════════════════════╪════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╡
    # │ https://las-cn-beijing-publi-…          ┆ {processed_audio_path: "tos://tos_bucket/audio/audio_ffmpeg_wrapped/sample_processed.wav", processed_audio_binary: null}           │
    # ╰─────────────────────────────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯