I have been trying to distinguish between words by extracting MFCCs from audios (with the librosa library), then applying Dynamic Time Warping to classify between the audios using kNN. For example, I am trying to recognize between the words "cat" and "anything". My problem is that I can’t find similarities between two different pronunciations of ..
According to the information I found from the Internet, DTW acts as a data matching and comparison module in the speech recognition system. In my opinion, the input will be the word I want to recognize. In my assignment, the question requested to demonstrate the implementation of DTW in analyzing the video and identifying some ..
i have taken two audio files. First audio file consists of phrase that may present in second file which means that phrase present in first audio file was spoken by speaker in second audio, until now i have converted these files to text by using speech to text conversion library and find out whether phrase ..
So, Basically i had tons of data which word-based dataset. Each of data is absolutely having different length of time. This is my Approach : Labelling the given dataset Split the data using Stratified KFold for Training Data (80%) and Testing data (20%) Extract the Amplitude, Frequency and Time using MFCC Because the Time-series each ..
In time series analysis, dynamic time warping (DTW) is one of the algorithms for measuring similarity between two temporal sequences, which may vary in speed. Fast DTW is a more faster method. I would like to know how to implement this method not only between 2 signals but 3 or more. distance, warp_path = fastdtw(series2, ..
I am trying to run a Jupyter script in PyCharm. The script takes +- 2 hours to run. When I ran it for the first time, my memory ran out of memory and I exited pyCharm. I deleted some files from my PC and launched PyCharm again. When I opened my script and ran the ..
I’ve used Dynamic Time Warping algorithms to produce distance matrices and find the differences between two arrays. However, is there an algorithm that can actually warp one array to be like the other (as an end result I’m looking to warp one video to be like another i.e. working with multidimensional arrays). Context: I have ..
I have a list containing many lists. I use a dtw approach using the fastdtw python package to calculate the distance between an input list and the lists inside the list. This gives me a list of distances from which I choose the minimum value and estimate it as the one closest to the input ..
I would like to assess the synchrony between two time series (i.e. do they have the same evolution over time?). I am using Python. Here are examples of the time series that I have: The first plot shows time series that have quite similar evolution (synchrony), whereas the second plot shows time series that visually ..
I’m a PhD student but not an expert in deep learning nor Python, so sorry if my question is trivial. What I’m trying to do is to use the fast dtw (https://pypi.org/project/fastdtw/) as a loss function for my TensorFlow model. (RNN) After defining the function: def dtw_distance (x,y): distance, path=fastdtw(x, y) return distance I’m trying ..