Efficient sample rate conversion in python

bmcfee Last update: Feb 06, 2024

resampy

Efficient sample rate conversion in Python.

This package implements the band-limited sinc interpolation method for sampling rate conversion as described by:

Smith, Julius O. Digital Audio Resampling Home Page Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, 2015-02-23. Web published at http://ccrma.stanford.edu/~jos/resample/.

Installation

resampy can be installed pip by the following command:

python -m pip install resampy

It can also be installed by conda as follows:

conda install -c conda-forge resampy

Tags:

Owner

bmcfee

GitHub Repository https://github.com/bmcfee

🤖 Template for telegram bot using postgres, pgbouncer, redis, docker, amplitude, prometheus, grafana, CI

start services make migrations start the necessary services (at least the database and redis) start telegram bot start admin panel make migrations to launch the bot you only need a token bot, datab…

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

You will also need, etc. to run the demo codes. Here is the code to program this app, Although this is a very simple code, it features, We can essentially follow the same path and add more layers of …

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

As we all know the Machine Learning space has a lot of tools and libraries for creating pipelines to train, test & deploy models, and dealing with these many different APIs can be cumbersome. Our…

Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)

Phospho is the text analytics platform for LLM apps. Detect issues and extract insights from text messages of your users or your app. Gather user feedback and measure success. Iterate on your app to …

a flask profiler which watches endpoint calls and tries to make some analysis.

It gives answers to these questions: In short, if you are curious about what your endpoints are doing and what requests they are receiving, give a try to flask-profiler. With flask-profiler's web int…

Analytics services for Django projects

Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, …

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

This documentation is intended as a reference for app and workflow developers as well as project contributors and operators. Here you will find walkthroughs, tutorials and other useful information ab…

Apache Superset is a Data Visualization and Data Exploration Platform

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Collection of Python notebooks for various machine learning, deep learning and analytics use cases Welcome to the GitHub tutorial directory of the relataly.com blog on business use cases with python …