Botium Speech Processing

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 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 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.

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

It is an on-device speech-to-text engine. By processing voice data locally on the device, it offers private, reliable, fully-customizable, and cost-effective audio transcription experiences. It achieves big tech-level accuracy at a fraction of their costs.

wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.

Convert text to high-quality AI voice in seconds. Perfect for content creators, businesses, educators and video makers. Fast, affordable and studio-grade output with multiple accents and languages.

It is more than just a fast and accurate audio to text converter. We go beyond audio transcription to help you get the most out of your content.

Plan, write, and publish books, PDF guides, workbooks, and audiobooks with AI workflows. Customize branding and export instantly.

It is fully-automated software that can turn any text into a natural lifelike voice-over... In just a few clicks. It can accommodate any business and is perfect for creating voice overs for video sales letters, educational videos, marketing videos, animated videos, podcasts, audio books, and much more!

It is a library for advanced Text-to-Speech generation. It’s built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed, and quality. It comes with pre-trained models, tools for measuring dataset quality and is already used in 20+ languages for products and research projects.

It is an On-Premises, Streaming Speech Recognition System built with PyTorch and fastai.

The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks.

Create viral AI-powered short videos, reels, TikToks, YouTube Shorts, and music videos with voiceovers, auto scripts, subtitles, and ai images — perfect for creators, educators, and marketers.

Transform boring PDFs and text into viral TikTok-style brainrot study videos. Free online tool with AI voices, speed control, and Minecraft backgrounds. 3 free videos daily!

It builds upon the capabilities of the WhisperLive and WhisperSpeech by integrating Mistral, a Large Language Model (LLM), on top of the real-time speech-to-text pipeline. Both LLM and Whisper are optimized to run efficiently as TensorRT engines, maximizing performance and real-time processing capabilities.

It is a high-quality multi-lingual text-to-speech library by MyShell.ai. It supports English, Spanish, French, Chinese, Japanese and Korean.

Have full ownership of the professional audio creation workflow: from content creation and versioning from text, to generation to speech, to sound design and mastering. Create and integrate audio experiences into your mobile applications, IoT projects, websites or social channels without learning specialized audio tools.

Transcribe and translate audio files using OpenAI's Whisper API. You can upload any audio file, and the application will send it through the OpenAI Whisper API using Laravel's queued jobs. Translation makes use of the new OpenAI Chat API and chunks the generated VTT file into smaller parts to fit them into the prompt context limit.