TTSAI vs Kaldi
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Sir Richard BransonMost popular feedback for TTSAI
Excellent Text to speech service to simplify the reading of news by the visually impaired
Comunicati StampaPress Releases Portal
About TTSAI
TTSAI® Pro service covers 90+ languages and 1000+ voices and is constantly expanding. TTSAI® Pro works with both standard and AI voice (Known as Neural Voice). Standard voice is less expensive. You get fluent voices with AI voice. TTSAI® is a project from the heart. The funds will be used entirely to fund research to improve the quality of life and accessibility of the disabled and those who are digitally excluded. TTSAI® has STAR LEVEL One, CAIQ, and GDPR CoC certifications.
Most popular feedback for Kaldi
Speed, accuracy. It makes the job simpler. Speed was great. All the documentation was there. The instruction was really helpful. There is no other tool like kaldi to implement the speech-to-text conversion.
Ayush J.
About Kaldi
A toolset for automatic speech recognition called Kaldi supports deep neural networks, feature-space discriminative training, boosted MMI and MCE training, MMI, and linear transformations. A toolset for automatic speech recognition called Kaldi supports deep neural networks, feature-space discriminative training, boosted MMI and MCE training, MMI, and linear transformations. Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers. For more detailed history and list of contributors see History of the Kaldi project.
TTSAI reviews
"With TTSAI Text-to-Speech engine we have improved the performance of the online course creation process by 90%"
- UNIPID University
"Excellent Text to speech service to simplify the reading of news by the visually impaired"
- Comunicati Stampa
"Thanks to TTSAI pro we can offer a more immersive experience to our readers by creating blogcasts"
- Media Intelligence
Kaldi reviews
Setup and installation is very complicated
- Qasim A- Data Science Engineer
It's open-sourced, but very well maintained by the core group of Johns Hopkins University's speech recognition laboratory. It has been offering a great suite of tools and libraries for speech scientists to utilize to perform their research experiments with ease as well as for industry practitioners to exploit to build business solutions for customers who are interested in paying for dependable speech recognition solutions. It also supports various neural network architectures that can be useful for any sequential processing. Given that we're in the era of deep learning booming, this tool is a real gem for any machine learning engineer to be able to use to build and evaluate neural network based systems for various tasks.
- Kyu H. - Principal Machine Learning Scientist
Transcription Accuracy. Also the libraries are very helpful
- Internal Consultant in Airlines/Aviation
Pros & cons
TTSAI
| Pros |
|---|
| Multi language |
| Multi voice |
| SSML support |
Kaldi
| Pros |
|---|
| Open Source |
| Provides high quality ASR results, lots of freedom on how to do things |
| C++ makes it fast |
| Accurate |
| Cons |
|---|
| Complicated To set-up |
| The framework is difficult to use, and lots of times require an in depth understanding of ASR concepts |
| The neural network part of kaldi is out-of-dated, the pipe style command line makes it hard to run on Windows system |
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Learn more about text to speech online, for iOS, Mac, Android, and Chrome Extension.
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