Added 2 noise layers for Keras: GaussianDropout, GaussianNoise, with unit tests, python wrapper, serializatoin test.. How was this patch tested? PR validation test passed. Related links or issues (optional) fixe
noise_img[rand_x, rand_y]=255returnnoise_img def gaussian_noise(img, mean=0,var=0.001):""":param img: the original :param mean:setmean :paramvar:setvar:return:"""noise_img = np.array(img /255, dtype=float, copy=True) noise= np.random.normal(mean,var**0.5, noise_img.shape)out...
In other words, adds a small Gaussian noise to each frame. 👍 1 👀 1 src/transformers/audio_utils.py Outdated @@ -653,6 +662,10 @@ def spectrogram_batch( The padding strategy when `center` is `True`. onesided (`bool`, *optional*, defaults to `True`): If True, returns ...
openFrameworks addon for modeling a data distribution as a Gaussian mixture model Maintained by genekogan Last updated 8 years ago 4 Categories: Algorithms, Machine Learning ofxGNet Addon A general purpose, high level neural network ofxAddOn capable of modeling and mimicking arbitrary datasets with ea...
尽管这类方法在许多领域的到了应用,然而这类方法的输出是观测变量间的因果关系,而忽略了隐变量间的因果关系。近期,研究学者利用适用于隐变量下新的“d-分离准则”,包括Low-rank条件,Generalized Independent Noise(GIN)条件等,给出了线性系统下隐变量...
openFrameworks addon for modeling a data distribution as a Gaussian mixture model committed on 7 December, 2014 added thumbnail genekogan ofxSequencer sequencer addon for openframeworks which supports discrete or continuous cell values committed on 7 December, 2014 added thumbnail genekogan ofxKinectPro...
内有两个MATLAB程序,主要用于语音增强:一个用于向纯净语音文件(wav)添加高斯白噪声,信噪比可选;另一个文件用于测量语音信噪比,对语音增强效果判断(MATLAB, there are two procedures, mainly used for speech enhancement: one for the pure audio files (wav) add white Gaussian noise, SNR optional another ...
Alternative noising processes are also possible in continuous diffusion models, but as noted in the paper, only additive Gaussian noise has received significant attention. Autoregressive Models It's perhaps more interesting to compare VQ-Diffusion to AR models as they more frequently feature ...
()sys.path.append(now_dir)chat=ChatTTS.Chat()chat.load(source="local",compile=False)# Sample a speaker from Gaussian.rand_spk=chat.sample_random_speaker()logger.info(f'rand_spk:{rand_spk}')params_infer_code=ChatTTS.Chat.InferCodeParams(spk_emb=rand_spk,temperature=.3,top_P=0.7,top_...
gaussian_gray_noise_prob=0.4, poisson_scale=[0.05, 3], poisson_gray_noise_prob=0.4, gaussian_sigma_step=0.1, poisson_scale_step=0.005), keys=['lq'], ), dict( type='RandomJPEGCompression', params=dict(quality=[30, 95], quality_step=3), keys=['lq'], ), dict( type='RandomVideoC...