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Learning Algorithms for Audio and Video Processing ...
https://www.researchgate.net/publication/235199499_Learning_Algorithms_for_Audio_and_Video_Processing_Independent_Component_Analysis_and_Support_Vector_Machine_Based_Approaches
Download Citation | Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches | In this thesis, we propose two new machine ...
Title of Dissertation: LEARNING ALGORITHMS FOR …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.113
BibTeX @MISC{Qi_titleof, author = {Yuan Qi and Master Of Science}, title = {Title of Dissertation: LEARNING ALGORITHMS FOR AUDIO AND VIDEO PROCESSING { INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINE BASED APPROACHES}, year = {}}
An introduction to audio processing and machine …
https://opensource.com/article/19/9/audio-processing-machine-learning-python
audioprocessing-ml_1a.png. Word2vec works great for processing bodies of text. It represents words as vectors of numbers, and the distance between two word vectors determines how similar the words are. If we try to apply Word2vec to numerical data, the results probably will not make sense.
Home [audioalgorithms.com]
https://audioalgorithms.com/
AUDIO & VIDEO. AUDIOALGORITHMS develops software for clients in the U.S., Europe and Asia. We specialize in signal processing algorithms with a focus on audio, video and real-time communication applications. We develop software for mobile, desktop, web and embedded systems. We are known in the industry for our professional attitude, the quality ...
Audio Deep Learning Made Simple: Automatic Speech ...
https://towardsdatascience.com/audio-deep-learning-made-simple-automatic-speech-recognition-asr-how-it-works-716cfce4c706
The goal of the model is to learn how to take the input audio and predict the text content of the words and sentences that were uttered. Data pre-processing. In the sound classification article, I explain, step-by-step, the transforms that are used to process audio data for deep learning models. With human speech as well we follow a similar ...
Machine Learning Video Analysis: A Tutorial | Toptal
https://www.toptal.com/machine-learning/machine-learning-video-analysis
Machine learning, combined with some standard image processing techniques, can result in powerful video analysis tools. In this article, Toptal Freelance Software Engineer Michael Karchevsky walks through a solution for a machine learning competition that identifies the species and lengths of any fish present in a given video segment.
How to apply machine learning and deep learning …
https://towardsdatascience.com/how-to-apply-machine-learning-and-deep-learning-methods-to-audio-analysis-615e286fcbbc
Librosa audio: converted to mono. Extracting MFCCs from audio using Librosa. Remember all the math we went through to understand mel-frequency cepstrum coefficients earlier? Using Librosa, here’s how you extract them from audio (using the librosa_audio we defined above) mfccs = librosa.feature.mfcc(y=librosa_audio, sr=librosa_sample_rate, n_mfcc = 40)
Classification of lung sounds using convolutional neural ...
https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-017-0213-2
As shown in Table 2, the studies in the literature have very limited datasets with a maximum of 2127 audio samples from 34 subjects [].Therefore, their accuracy results were either very high when there was a very distinct set of audio data or very low when the audio data was similar [16, 25,26,27,28,29,30,31,32,33,34,35,36,37].This is a major problem as these systems …
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