What is Botium Speech Processing?
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
Botium Speech Processing is a tool in the Text-To-Speech as a Service category of a tech stack.
Botium Speech Processing is an open source tool with 934 GitHub stars and 58 GitHub forks. Here’s a link to Botium Speech Processing's open source repository on GitHub
Who uses Botium Speech Processing?
7 developers on StackShare have stated that they use Botium Speech Processing.
Botium Speech Processing Integrations
Botium Speech Processing's Features
- Build voice-enabled chatbot services (for example, IVR systems)
- Classification of audio file transcriptions
- Automated Testing of Voice services with Botium
Botium Speech Processing Alternatives & Comparisons
What are some alternatives to Botium Speech Processing?
See all alternatives
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Google Cloud Text-To-Speech
Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible.
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.