a-n-rose Goto Github PK
Name: Aislyn Rose
Type: User
Location: Berlin, Germany
Blog: a-n-rose.github.io
Name: Aislyn Rose
Type: User
Location: Berlin, Germany
Blog: a-n-rose.github.io
My personal webpage
Where I will work on buliding Android etc. applications
A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LSTM models with those features.
Audio Processing Workshop materials for PyLadies Hamburg (October 19, 2021)
Documentation of how and where I collect speech data
PyTorch CTC Decoder bindings
Scripts dedicated to exploring/dealing with data from/for SQL databases
Using speech data from LANNA speech database. Using it to train neural networks and machine learning algorithms. Also using it to explore speech signal. Limitation: not nearly enough speech data.
Short-Term Goal: to effectively apply deep learning to speech data. Long-term Goal: to diagnose various speech disorders from speech input via mobile app.
This is the template I built for my husband and my wedding. Pages include: registration/login, schedule/lodging, "our story", RSVP, gallery, (very simple) registry, discussion page.
This was an app I developed a year ago and needs some cleaning up. It presents names to a user and the user either likes or dislikes the names. Names are then recommended to the user.
Where I will create little games
Through games and story telling, collect users' speech as they play on a mobile app. Here I will brainstorm and play around with what kind of apps I can create to collect more speech data.
"Translates" English text/words to IPA (can be modified to work with other langauges). Categorizes IPA letters by their IPA featuers (see IPA chart). Saves features of words to machine/deep learning friendly database: one column per feature, and True if the word has this feature, False if not.
kaggle titanic solution
Here is where I will document my progress in kaggle competitions.
Very simple version of a name recommender using the Kivy and Python languages
A language classifier model built via deep learning techniques
A game using spectral fingerprints/voice biometrics and general speech analysis techniques to compare target sounds and recordings mimicking those sounds
Small sections of datasets for audio exploration
Where I will explore messing around with noise and speech in Python
Code that'll help you kickstart a personal website that showcases your work as a software developer.
A website to display my current research interests/projects, sample applications I have developed or am working on, a blog documenting the projects I'm working on, and an 'about me' page.
Scripts for handling sound and sound files for various purposes
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
Where I will explore real-time application with Python (and possibly other languages combined with Python)
Where I will work on various projects and models looking to recommend or meet the needs of the user using machine or deep learning
Using available sound / noise databases, I will experiment here how to build a sound classifier via deep learning
Where I will work on various speech recognition related projects
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.