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Kaldi is an open-source speech recognition toolkit written in C++ for speech recognition and signal processing, freely available under the Apache License v2.0.. Kaldi aims to provide software that is flexible and extensible, [2] and is intended for use by automatic speech recognition (ASR) researchers for building a recognition system.
Download QR code; Print/export ... In other projects Wikidata item; Appearance. move to ... fastText is a library for learning of word embeddings and text ...
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.
Sphinx is a continuous-speech, speaker-independent recognition system making use of hidden Markov acoustic models and an n-gram statistical language model. It was developed by Kai-Fu Lee . Sphinx featured feasibility of continuous-speech, speaker-independent large-vocabulary recognition, the possibility of which was in dispute at the time (1986).
In contrast to automatic speech recognition which extracts the spoken content out of a speech signal, openSMILE is capable of recognizing the characteristics of a given speech or music segment. Examples for such characteristics encoded in human speech are a speaker's emotion, [3] age, gender, and personality, as well as speaker states like ...
A few example applications are provided to show how to use the framework. There is also a detailed manual [1] and the API reference [2] in the javadoc format as the project tends to be well documented. MARF, its applications, and the corresponding source code and documentation are released under the BSD-style license.
Name Online demo Available language(s) Available voices Programming language Operating system(s) 15.ai: Yes English (United States) 50+ Python: Any
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.