A suite of speech signal processing tools
Speech Processing Projects
Screen Reader Abstraction Library
Kroko ASR - Speech-to-text
WhisPad is a note management tool where you can write or dictate your notes using local or API AI models (supports speaker diarization). Rewrite your texts using different styles, dive in using AI, translate, summarize, create mind maps, node graphs and even quizs and flashcards based on each note. A powerful companion for researchers and students.
LPC speech encoder for the TMS5220
Text2Speech is an Qt based UI application that converts written text into spoken voice output
Inton Core Library is designed to measure a complex of characteristics of the oral speech.
G.I./Microchip SP0256 Speech Processor and CTS256A-AL2 Text-To-Speech Processor Emulation
Following is the Hidden Markov Model Implementation for Digit Recognition
Vowel Recognition project using Cepstral Coefficients
A ggml (C++) re-implementation of tortoise-tts
This plugin integrates Azure Speech Cognitive Services in Unreal Engine.
Windows "say"
Text-to-Speech conversor for Basque and Spanish. It includes linguistic processing and built voices for the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory,
Voice assistent for Desktop
Collection of auditory models.
dynamic time warping implemented in C++ with bindings in python
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