Commit cd66bf6b authored by Jan Kiene's avatar Jan Kiene
Browse files

Merge branch 'main' into...

Merge branch 'main' into 40-item-processing-scripts-add-option-to-use-wine-together-with-ivas-evs-executables
parents 831cf03e 927a64f9
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+3 −19
Original line number Diff line number Diff line
@@ -37,7 +37,7 @@ from warnings import warn
import numpy as np

from ivas_processing_scripts.audiotools import audio
from ivas_processing_scripts.audiotools.audioarray import delay, trim
from ivas_processing_scripts.audiotools.audioarray import trim
from ivas_processing_scripts.audiotools.audiofile import write
from ivas_processing_scripts.audiotools.metadata import (
    add_remove_preamble,
@@ -47,7 +47,6 @@ from ivas_processing_scripts.audiotools.wrappers.bs1770 import (
    get_loudness,
    loudness_norm,
)
from ivas_processing_scripts.audiotools.wrappers.random_seed import random_seed
from ivas_processing_scripts.processing.processing import Processing


@@ -114,9 +113,6 @@ class Preprocessing2(Processing):
    def add_background_noise(
        self, audio_object: audio.Audio, in_meta, logger
    ) -> np.ndarray:
        # range for random delay
        max_delay = int(2400000 * audio_object.fs / 48000)

        if self.background_noise.get("background_noise_path"):
            if not self.background_noise.get("background_noise_path").exists():
                raise ValueError(
@@ -136,10 +132,6 @@ class Preprocessing2(Processing):
            # if noise is too short raise error
            if len(noise_object.audio) < len(audio_object.audio):
                raise ValueError("Background noise too short for audio signal")
            if len(noise_object.audio) - max_delay < len(audio_object.audio):
                raise ValueError(
                    "Background noise may be to short for audio signal when considering the random delay"
                )

            # measure loudness of audio signal based on output format
            tmp_object = audio.fromtype(self.out_fmt)
@@ -163,16 +155,8 @@ class Preprocessing2(Processing):
            # compute desired loudness of background noise
            loudness_noise = loudness_signal - self.background_noise["snr"]

            # apply random delay and cut signal
            rand_delay = random_seed(
                range=(1, max_delay),
                master_seed=self.background_noise["master_seed"],
                prerun_seed=self.background_noise["seed_delay"],
                hexa=False,
            )
            noise_object.audio = delay(
                noise_object.audio, delay=-rand_delay, samples=True, fs=noise_object.fs
            )[: len(audio_object.audio)]
            # cut noise signal
            noise_object.audio = noise_object.audio[: len(audio_object.audio)]

            # scale background noise to desired loudness based on output format
            logger.debug(