diff --git a/.github/workflows/ci-pipeline.yml b/.github/workflows/ci-pipeline.yml index ec5f2223..0413a251 100644 --- a/.github/workflows/ci-pipeline.yml +++ b/.github/workflows/ci-pipeline.yml @@ -9,7 +9,7 @@ jobs: fail-fast: false matrix: os: [ubuntu-latest, windows-2022] - python-version: ["3.7", "3.9", "3.11"] + python-version: ["3.8", "3.10", "3.11"] steps: - uses: actions/checkout@v3 - if: matrix.os == 'ubuntu-latest' @@ -21,8 +21,8 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install requirements run: | - pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu pip install -r test/requirements.txt + pip install -r test/torch_requirements.txt pip install . - name: Test with pytest run: pytest test @@ -42,8 +42,8 @@ jobs: python-version: 3.9 - name: Generate coverage report run: | - pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu pip install -r test/requirements.txt + pip install -r test/torch_requirements.txt pip install . coverage run -m pytest test coverage xml @@ -63,8 +63,8 @@ jobs: python-version: 3.9 - name: Install dependencies run: | - pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu pip install -r docs/requirements.txt + pip install -r test/torch_requirements.txt pip install . - name: Build documentation run: cd docs && make clean && make html # Use SPHINXOPTS="-W" to fail on warning. diff --git a/docs/requirements.txt b/docs/requirements.txt index 4cc375ea..67a09d88 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -4,8 +4,6 @@ sphinx-book-theme sphinx-gallery myst_nb pbr -torchvision ipywidgets matplotlib -torchdata sphinx-autoapi diff --git a/docs/tutorials/audio_transforms_tutorial.ipynb b/docs/tutorials/audio_transforms_tutorial.ipynb new file mode 100644 index 00000000..93cdcd0a --- /dev/null +++ b/docs/tutorials/audio_transforms_tutorial.ipynb @@ -0,0 +1,446 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Audio transforms and augmentations\n", + "- This tutorial demonstrates examples for audio tranformations in `tonic.audio_augmentations`\n", + "- A sample audio file is chosen from torch tutorials and all transforms are applied on that" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "import IPython\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import torch\n", + "import torchaudio\n", + "from torchaudio.utils import download_asset\n", + "\n", + "SAMPLE_WAV = download_asset(\"tutorial-assets/Lab41-SRI-VOiCES-src-sp0307-ch127535-sg0042.wav\")\n", + "sample_audio, sample_rate = torchaudio.load(SAMPLE_WAV)\n", + "sample_audio = sample_audio.numpy()\n", + "original_sample_length = int(np.ceil(np.shape(sample_audio)[1]/sample_rate))\n", + "IPython.display.display(IPython.display.Audio(sample_audio, rate = sample_rate))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "### RandomTimeStretch\n", + "- Slowing down\n", + "- Speeding up" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tonic.audio_augmentations import RandomTimeStretch\n", + "plt.figure(figsize = (15, 5))\n", + "\n", + "#### slowing down\n", + "factors = [0.5]\n", + "# the passed sample length can be the original one, here we change it just to show the longer (slowed down) version\n", + "sample_length = int(float(original_sample_length)/factors[0])\n", + "aug = RandomTimeStretch(samplerate = sample_rate, sample_length = sample_length, factors = factors)\n", + "slowed = aug(sample_audio)\n", + "plt.subplot(121); plt.plot(slowed[0]); \n", + "plt.grid(True); plt.title('time stretched with factor = ' + str(factors[0]))\n", + "IPython.display.display(IPython.display.Audio(slowed, rate = sample_rate))\n", + "\n", + "#### speeding up \n", + "factors = [2] # speeding up\n", + "sample_length = int(float(original_sample_length)/factors[0])\n", + "\n", + "aug = RandomTimeStretch(samplerate = sample_rate, sample_length = sample_length, factors = factors)\n", + "speed_up = aug(sample_audio)\n", + "plt.subplot(122); plt.plot(speed_up[0]); \n", + "plt.grid(True); plt.title('time stretched with factor = ' + str(factors[0]))\n", + "IPython.display.display(IPython.display.Audio(speed_up, rate = sample_rate))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### RandomPitchShift\n", + "- Decreasing the pitch \n", + "- Increasing the pitch " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tonic.audio_augmentations import RandomPitchShift\n", + "plt.figure(figsize = (15, 5));\n", + "\n", + "#### decreasing the pitch\n", + "factors = [-5] \n", + "aug = RandomPitchShift(samplerate = sample_rate, factors = factors)\n", + "augmented = aug(sample_audio)\n", + "plt.subplot(121); plt.plot(augmented[0]); \n", + "plt.grid(True); plt.title('pitch shifted with with factor = ' + str(factors[0]))\n", + "IPython.display.display(IPython.display.Audio(augmented, rate = sample_rate))\n", + "#### increasing the pitch\n", + "factors = [5] \n", + "aug = RandomPitchShift(samplerate = sample_rate, factors = factors)\n", + "augmented = aug(sample_audio)\n", + "plt.subplot(122);plt.plot(augmented[0]); \n", + "plt.grid(True); plt.title('pitch shifted with with factor = ' + str(factors[0]))\n", + "IPython.display.display(IPython.display.Audio(augmented, rate = sample_rate))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### AmplitudeScale\n", + "- Lowering the volume" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tonic.audio_augmentations import RandomAmplitudeScale\n", + "plt.figure(figsize = (10, 5));\n", + "plt.subplot(121); plt.plot(sample_audio[0]); \n", + "plt.grid(True); plt.title('original sample'); \n", + "\n", + "aug_low = RandomAmplitudeScale(min_amp = 0.02, max_amp = 0.2, samplerate=sample_rate)\n", + "low = aug_low(sample_audio)\n", + "\n", + "plt.subplot(122); plt.plot(low[0]); \n", + "plt.grid(True); plt.title('scaling amplitude to lower')\n", + "\n", + "IPython.display.display(IPython.display.Audio(low[0], rate = sample_rate, normalize=False))#lower volume\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Add_WhiteNoise" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tonic.audio_augmentations import AddWhiteNoise\n", + "plt.figure(figsize = (10, 5));\n", + "plt.subplot(121); plt.plot(sample_audio[0]); \n", + "plt.grid(True); plt.title('original sample'); \n", + "\n", + "aug = AddWhiteNoise(samplerate=sample_rate)\n", + "noisy = aug(sample_audio)\n", + "plt.subplot(122); plt.plot(noisy[0]); \n", + "plt.grid(True); plt.title('augmented with white noise' ); \n", + "\n", + "IPython.display.display(IPython.display.Audio(sample_audio, rate = sample_rate, normalize=True))# the original\n", + "IPython.display.display(IPython.display.Audio(noisy[0], rate = sample_rate, normalize=True))#\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### RIR (room impulse response)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tonic.audio_augmentations import RIR\n", + "import numpy as np\n", + "plt.figure(figsize = (10, 5));\n", + "plt.subplot(121); plt.plot(sample_audio[0]); \n", + "plt.grid(True); plt.title('original sample'); \n", + "plt.ylim([-1, 1])\n", + "rir_audio_path = (\n", + " \"tutorial-assets/Lab41-SRI-VOiCES-rm1-impulse-mc01-stu-clo-8000hz.wav\"\n", + " )\n", + "aug = RIR(samplerate=sample_rate, rir_audio=rir_audio_path)\n", + "rir = aug(sample_audio)\n", + "plt.subplot(122); plt.plot(rir[0]); \n", + "plt.grid(True); plt.title('augmented with room impulse response' ); \n", + "plt.ylim([-1, 1])\n", + "IPython.display.display(IPython.display.Audio(sample_audio, rate = sample_rate, normalize=True))# the original\n", + "IPython.display.display(IPython.display.Audio(rir[0], rate = sample_rate, normalize=True))#" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "80082753f825f5fd87c9e01bdff400ed5e0a1d73f0e7712adc135a3cda2f38fe" + }, + "kernelspec": { + "display_name": "Python 3.10.2 64-bit ('py_310')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.2" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/test/requirements.txt b/test/requirements.txt index 33a0ea37..d799e198 100644 --- a/test/requirements.txt +++ b/test/requirements.txt @@ -1,8 +1,6 @@ pytest coverage -torch matplotlib hdf5plugin imageio -torchdata aedat diff --git a/test/test_audio_augmentations.py b/test/test_audio_augmentations.py new file mode 100644 index 00000000..8e5713a5 --- /dev/null +++ b/test/test_audio_augmentations.py @@ -0,0 +1,142 @@ +import numpy as np +import pytest + + +def test_random_time_stretch(): + """Tests the time_stretch transform with synthetic data for 2 scenarions: slowing down and + speeding up. + + - verifies if the output of transform is different than the input data + - verifies if the length of signal has chanched according to the stretch factor (and it should remain fixed if fix_length flag is True) + """ + from tonic.audio_augmentations import RandomTimeStretch + + np.random.seed(123) + + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + + for fix_length in [False, True]: + # verify length of stretched signal + slowing_down = RandomTimeStretch( + samplerate=sr, sample_length=sl, factors=[0.5], fix_length=fix_length + ) + slow = slowing_down(data) + + assert slow is not data + + if fix_length: + assert slow.shape[1] == data.shape[1] + else: + assert np.allclose( + slow.shape[1], + data.shape[1] / (slowing_down.factors[0]), + rtol=1e-2, + atol=1e-3, + ) + + speeding_up = RandomTimeStretch( + samplerate=sr, sample_length=sl, factors=[1.5], fix_length=fix_length + ) + fast = speeding_up(data) + + assert fast is not data + + if fix_length: + assert fast.shape[1] == data.shape[1] + else: + assert np.allclose( + fast.shape[1], + data.shape[1] / (speeding_up.factors[0]), + rtol=1e-2, + atol=1e-3, + ) + + +def test_random_pitch_shift(): + """Tests the pitch_shift transform with synthetic data. + + - verifies if the output of transform is different than the input data + - verifies that the size has not changed + """ + from tonic.audio_augmentations import RandomPitchShift + + np.random.seed(123) + + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + + aug = RandomPitchShift(samplerate=sr) + pitch_shifted = aug(data) + + assert pitch_shifted is not data + + assert pitch_shifted.shape[1] == data.shape[1] + + +def test_random_amplitude_scale(): + """Tests the amplitude_scale transform with synthetic data. + + - verifies if the output of transform is different than the input data + - verifies that the size has not changed + - verifies that maximum amplitude is in the defined range + """ + from tonic.audio_augmentations import RandomAmplitudeScale + + np.random.seed(123) + + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.ones((1, sr * sl)) + min_amp, max_amp = 0.05, 0.15 + + aug = RandomAmplitudeScale(samplerate=sr, min_amp=min_amp, max_amp=max_amp) + amp_scaled = aug(data) + + assert amp_scaled is not data + assert amp_scaled.shape[1] == data.shape[1] + assert amp_scaled.max() <= max_amp + + +def test_add_white_noise(): + """Tests the add_white_noise transform with synthetic data. + + - verifies if the output of transform is different than the input data + - verifies that the size has not changed + """ + from tonic.audio_augmentations import AddWhiteNoise + + np.random.seed(123) + + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + + aug = AddWhiteNoise(samplerate=sr) + noisy = aug(data) + assert noisy is not data + assert noisy.shape[1] == data.shape[1] + + +def test_RIR(): + """Tests the RIR transform with a synthetic data. + + - verifies if the output of transform is different than the input data + - verifies that the size has not changed + """ + from tonic.audio_augmentations import RIR + + np.random.seed(123) + + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl).astype("float32") + rir_audio_path = ( + "tutorial-assets/Lab41-SRI-VOiCES-rm1-impulse-mc01-stu-clo-8000hz.wav" + ) + aug = RIR(samplerate=sr, rir_audio=rir_audio_path) + RIR_augmented = aug(data) + assert RIR_augmented is not data + assert RIR_augmented.shape[1] == data.shape[1] diff --git a/test/test_audio_transforms.py b/test/test_audio_transforms.py index 7c389ee7..88ed81ce 100644 --- a/test/test_audio_transforms.py +++ b/test/test_audio_transforms.py @@ -80,3 +80,60 @@ def __getitem__(self, item): signal = add_noise(data) assert signal.shape == (1, 16_000) + + +def test_swap_axes(): + """Tests SwapAxes transform with synthetic data.""" + from tonic.audio_transforms import SwapAxes + + np.random.seed(123) + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + ax1, ax2 = 0, 1 + swap_ax = SwapAxes(ax1=ax1, ax2=ax2) + swaped = swap_ax(data) + + assert swaped.shape[0] == data.shape[1] + assert swaped.shape[1] == data.shape[0] + + +def test_amplitude_scale(): + """Tests the amplitude scaling transform with synthetic data.""" + from tonic.audio_transforms import AmplitudeScale + + np.random.seed(123) + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + max_amps = np.random.rand(10) + + for amp in max_amps: + AmpScale = AmplitudeScale(max_amplitude=amp) + transformed = AmpScale(data) + assert data.shape[1] == transformed.shape[1] + assert transformed.max() == amp + + +def test_robust_amplitude_scale(): + """Tests robust amplitude scaling transform with a synthetic data.""" + from tonic.audio_transforms import RobustAmplitudeScale + + np.random.seed(123) + sr = 16_000 # sample rate + sl = 1 # sample length + data = np.random.rand(1, sr * sl) + max_amps = np.random.rand(10) + percent = 0.01 + for amp in max_amps: + RobustAmpScale = RobustAmplitudeScale( + max_robust_amplitude=amp, outlier_percent=percent + ) + transformed = RobustAmpScale(data) + sorted_transformed = np.sort(np.abs(transformed.ravel())) + non_outlier = sorted_transformed[ + 0 : int(np.floor(len(sorted_transformed)) * (1 - percent)) + ] + print(non_outlier) + assert data.shape[1] == transformed.shape[1] + assert np.all(non_outlier <= amp) diff --git a/test/torch_requirements.txt b/test/torch_requirements.txt new file mode 100644 index 00000000..fd14302b --- /dev/null +++ b/test/torch_requirements.txt @@ -0,0 +1,5 @@ +--index-url https://download.pytorch.org/whl/cpu +torch==2.1.0 +torchaudio==2.1.0 +torchvision==0.16.0 +torchdata diff --git a/tonic/audio_augmentations.py b/tonic/audio_augmentations.py new file mode 100644 index 00000000..be57ad25 --- /dev/null +++ b/tonic/audio_augmentations.py @@ -0,0 +1,200 @@ +import random +from dataclasses import dataclass, field + +import librosa +import numpy as np +import torch +import torchaudio +from torchaudio.utils import download_asset + +from tonic.audio_transforms import FixLength + +__all__ = [ + "RandomTimeStretch", + "RandomPitchShift", + "RandomAmplitudeScale", + "AddWhiteNoise", + "RIR", +] + + +@dataclass +class RandomTimeStretch: + """Time-stretch an audio sample by a fixed rate. + Parameters: + samplerate (float): sample rate of the sample + sample_length (int): sample length in seconds + factors (float): range of desired factors for time stretch + aug_index (int): index of the chosen factor for time stretch. It will be randomly chosen from the desired range (if not passed while initilization) + caching (bool): if we are caching the DiskCached dataset will dynamically pass copy index of data item to the transform (to set aug_index). Otherwise the aug_index will be chosen randomly in every call of transform + fix_length (bool): if True, time stretched signal will be returned in a fixed length (samplerate * sample_length ) + Args: + audio (np.ndarray): data sample + Returns: + np.ndarray: time stretched data sample + """ + + samplerate: float + sample_length: int + factors: list = field(default_factory=lambda: [0.8, 0.9, 1.1, 1.2]) + aug_index: int = 0 + caching: bool = False + fix_length: bool = True + + def __call__(self, audio: np.ndarray): + if not self.caching: + self.aug_index = random.choice(range(0, len(self.factors))) + factor = self.factors[self.aug_index] + stretched = librosa.effects.time_stretch(audio, rate=factor) + if self.fix_length: + fix_length = FixLength(length=self.sample_length * self.samplerate) + stretched = fix_length(stretched) + + return stretched + + +@dataclass +class RandomPitchShift: + """Shift the pitch of a waveform by n_steps steps . + + Parameters: + samplerate (float): sample rate of the sample + factors (float): range of desired factors for pitch shift + aug_index (int): index of the chosen factor for pitchshift. It will be randomly chosen from the desired range (if not passed while initilization) + caching (bool): if we are caching, the DiskCached dataset will dynamically pass copy index of data item to the transform (to set aug_index). Otherwise the aug_index will be chosen randomly in every call of transform + + Args: + audio (np.ndarray): data sample + Returns: + np.ndarray: pitch shifted data sample + """ + + samplerate: float + factors: list = field( + default_factory=lambda: list(range(-5, 0)) + list(range(1, 6)) + ) + + aug_index: int = 0 + caching: bool = False + + def __call__(self, audio: np.ndarray): + if not self.caching: + self.aug_index = random.choice(range(0, len(self.factors))) + + semitone = self.factors[self.aug_index] + return librosa.effects.pitch_shift(audio, sr=self.samplerate, n_steps=semitone) + + +@dataclass +class RandomAmplitudeScale: + """Scales the maximum amplitude of the incoming signal to a random amplitude chosen from a + range. + + Parameters: + samplerate (float): sample rate of the sample + min_amp (float): minimum of the amplitude range in volts + max_amp (float): maximum of the amplitude range in volts + factors (float): range of desired factors for amplitude scaling + aug_index (int): index of the chosen factor for pitchshift. It will be randomly chosen from the desired range (if not passed while initilization) + caching (bool): if we are caching, the DiskCached dataset will dynamically pass copy index of data item to the transform (to set aug_index). Otherwise the aug_index will be chosen randomly in every call of transform + + + Args: + data (np.ndarray): input (single-or multi-channel) signal. + + Returns: + np.ndarray: scaled version of the signal. + """ + + samplerate: float + min_amp: float = 0.058 + max_amp: float = 0.159 + factors: list = field( + default_factory=lambda: list(range(int(1000 * 0.058), int(1000 * 0.159), 10)) + ) + aug_index: int = 0 + caching: bool = False + + def __post_init__(self): + # converted to mVolt + self.factors = list( + range(int(1000 * self.min_amp), int(1000 * self.max_amp), 10) + ) + + def __call__(self, audio: np.ndarray): + if not self.caching: + self.aug_index = random.choice(range(0, len(self.factors))) + + max_amplitude = self.factors[self.aug_index] / 1000 + max_data_amplitude = np.max(np.abs(audio.ravel())) + if max_data_amplitude == 0: + max_data_amplitude = 1.0 + + return audio / max_data_amplitude * max_amplitude + + +@dataclass +class AddWhiteNoise: + """Add white noise to the data sample with a known ratio. + + Parameters: + samplerate (float): sample rate of the sample + factors (float): range of desired ratios for added noise + aug_index (int): index of the chosen factor for noise. It will be randomly chosen from the desired range (if not passed while initilization) + caching (bool): if we are caching the DiskCached dataset will dynamically pass copy index of data item to the transform (to set aug_index). Otherwise the aug_index will be chosen randomly in every call of transform + + Args: + audio (np.ndarray): data sample + Returns: + np.ndarray: data sample with added noise + """ + + samplerate: float + factors: list = field(default_factory=lambda: [0.1, 0.2, 0.3, 0.4, 0.5]) + aug_index: int = 0 + caching: bool = False + + def __call__(self, audio: np.ndarray): + if not self.caching: + self.aug_index = random.choice(range(0, len(self.factors))) + + noise = np.random.normal(0, audio.std(), audio.size) + noise_factor = self.factors[self.aug_index] + noisy_audio = audio + noise_factor * noise + return noisy_audio + + +@dataclass +class RIR: + """Convolves a RIR (room impluse response) to the data sample. + + Parameters: + samplerate (float): sample rate of the sample + rir_audio (str): path to a sample room impluse response in the .wav format + caching (bool): if we are caching the DiskCached dataset will dynamically pass copy index of data item to the transform (to set aug_index). Otherwise the aug_index will be chosen randomly in every call of transform + + Args: + audio (np.ndarray): data sample + Returns: + np.ndarray: data sample convolved with RIR + """ + + samplerate: float + rir_audio: str + caching: bool = False + + def __call__(self, audio): + SAMPLE_RIR = download_asset(self.rir_audio) + rir_raw, rir_sample_rate = torchaudio.load(SAMPLE_RIR) + rir = rir_raw[:, int(rir_sample_rate * 1.01) : int(rir_sample_rate * 1.3)] + rir = rir / torch.norm(rir, p=2) + RIR = torch.flip(rir, [1]) + + t_audio = torch.nn.functional.pad( + torch.from_numpy(audio), (RIR.shape[1] - 1, 0) + ) + rir_augmented = torch.nn.functional.conv1d(t_audio[None, ...], RIR[None, ...])[ + 0 + ].numpy() + + return rir_augmented diff --git a/tonic/audio_transforms.py b/tonic/audio_transforms.py index d5650ed5..39effb61 100644 --- a/tonic/audio_transforms.py +++ b/tonic/audio_transforms.py @@ -56,6 +56,82 @@ def __call__(self, data: np.ndarray) -> np.ndarray: return np.concatenate(data, self.axis) +@dataclass +class SwapAxes: + """Interchange two axes of an array. + + Args: + ax1 (int): First axis + ax2 (int): Second axis + + Returns: + np.ndarray : array with interchanged axes + """ + + ax1: int = 0 + ax2: int = 1 + + def __call__(self, data: np.ndarray) -> np.ndarray: + return np.swapaxes(data, self.ax1, self.ax2) + + +@dataclass +class AmplitudeScale: + """Normalize the maximum amplitude of the input signal to a desired value, for instance the + value can corespond to the mVolt equivalent of be the maximum loudness of the audio. + + Args: + data (np.ndarray): input single- or multi-channel signal. + + Returns: + np.ndarray: scaled version of the signal. + """ + + max_amplitude: float = 158e-3 + + def __call__(self, data: np.ndarray) -> np.ndarray: + max_data_amplitude = np.max(np.abs(data.ravel())) + + if max_data_amplitude == 0: + max_data_amplitude = 1.0 + + return data / max_data_amplitude * self.max_amplitude + + +@dataclass +class RobustAmplitudeScale: + """Normalize the maximum amplitude of the input signal while eliminating the outliers, to + ensure that some very large outlier samples do not attenuate the majority of the samples. + + Paremeters: + max_robust_amplitude (float): maximum amplitude of non-outlier samples of the signal after robust scaling. + outlier_percent (float, optional): percentage of the outlier in the data. Defaults to 0.01. + Args: + data (np.ndarray): input single- or multi-channel signal. + + Returns: + np.ndarray: scaled version of the signal. + """ + + max_robust_amplitude: float = 158e-3 + outlier_percent: float = 0.01 + + def __call__(self, data: np.ndarray) -> np.ndarray: + sorted_amplitudes = np.sort(np.abs(data.ravel())) + + robsut_amplitude_index = int( + len(sorted_amplitudes) * (1 - self.outlier_percent) + ) + robust_amplitude = sorted_amplitudes[robsut_amplitude_index] + + if robust_amplitude == 0: + # input signal consists of just outlier section + # then: try to limit the amplitude of the outlier + return data / np.max(np.abs(data.ravel())) * self.max_robust_amplitude + + return data / robust_amplitude * self.max_robust_amplitude + + @dataclass class SOSFilter: """SOS filter.