friture
Pandas
friture | Pandas | |
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13 | 399 | |
862 | 42,159 | |
- | 1.0% | |
3.8 | 10.0 | |
11 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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friture
- Friture β a FOSS real-time audio analyzer for Windows, macOS, and Linux
- Is there an online version of the plot spectrum tool in Audacity?
- Heat from fire
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how accurate is https://acousticgender.space/?
As far as I know, the only more accurate tools for resonance are those that show full spectrograms, for example: In-formant, Friture, and Praat.
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I keep hitting a wall when trying to install modules in Pycharm...
In this case it's Friture: https://github.com/tlecomte/friture
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Deaf and finally getting Cochlear Implant in a few months. How to get started when I canβt understand hearing speech?
Get a spectrogram like this one: https://friture.org/ (use just one graph the 2d spectrogram, dm me for settings) try 2 things: first of all breathe into your mic and try to move the lines/groupings of data upwards and downwards by moving your tongue and throat. Then do the same but take a video of white noise (from youtube) on your phone and place the phone speaker against your lips. Move your tongue and throat to move the groupings/lines of data up and down the graph. These are vocal size/resonance exercises you can practice with sight.
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How do I find the source of a low frequency hum outside?
I got some free audio analysis software here. All I have is a webcam mic, but I'm pretty sure I see something on the spectrogram at 60, 120, and 240 hz. But I'm not sure if I'm going down the wrong path here.
- Visual spectrum analyzer software for studios
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Analyzing Voice Pitch/Frequency
If what you want is a real spectrum analyzer you'll need to try other software. For something free and open-source like Audacity, try Friture.
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Voice training apps?
Your main focus should be work on balancing your vocal weight and vocal size and there are no good applications to help with that (there are spectrograms, but it's a rabbit hole - they are very hard to interpret and as practice shows, people do not benefit from spending time on trying to understand how to use them.) Above that, one of the first goals should be for you to learn how to hear the changes in size and weight directly, through auditory feedback, without any assistance, so using tools may even be detrimental (if you teach yourself to focus on them instead on honing your listening skills, that is.)
Pandas
- The Birth of Parquet
- PDEP-13: The Pandas Logical Type System
- PHP Doesn't Suck Anymore
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap β Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
What are some alternatives?
Sushi - Automatic subtitle shifter based on audio
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
tensorflow - An Open Source Machine Learning Framework for Everyone
vocal-remover - Vocal Remover using Deep Neural Networks
orange - π :bar_chart: :bulb: Orange: Interactive data analysis
HaxHeadroom-FlipperZero-Goodies - Collection of scripts, guides and resources for your FlipperZero - π·ππΊπ²ππ π πππ πΈπΉ'π
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
madmom - Python audio and music signal processing library
Keras - Deep Learning for humans
matchering - ποΈ Open Source Audio Matching and Mastering
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration