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The Snack Sound Toolkit is a cross-platform library written by Kåre Sjölander of the Swedish Royal Technical University (KTH) with bindings for the scripting languages Tcl, Python, and Ruby. It provides audio I/O, audio analysis and processing functions, such as spectral analysis, pitch tracking, and filtering, and related graphics functions ...
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
The Speech Application Programming Interface or SAPI is an API developed by Microsoft to allow the use of speech recognition and speech synthesis within Windows applications. To date, a number of versions of the API have been released, which have shipped either as part of a Speech SDK or as part of the Windows OS itself.
The Transformers library is a Python package that contains open-source implementations of transformer models for text, image, and audio tasks. It is compatible with the PyTorch, TensorFlow and JAX deep learning libraries and includes implementations of notable models like BERT and GPT-2. [16]
On November 16, 2021, the version 1.1.0 was released with several major changes. The changes include packaging Python with the software, significant simplification of the build process from source, new modules and effects. [8] [1] On Jul 14, 2023, version 1.2.0 was released with several new modules, usability enhancements, OSC support and bug ...
A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.
Design files, source code and internal components are released under an open source Apache License 2.0, [15] enabling hobbyists and musicians to freely build and use the instrument. [16] At the core of the NSynth Super there is a Raspberry Pi , extended with a custom printed circuit board to accommodate the interface elements.
Speech coding is an application of data compression to digital audio signals containing speech. Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream. [1]