Platform:

Embedded, Standalone -- See below for Supported Operating Systems and Devices. Also see our Server Based Larrge-Vocabulary Speech Recognition Engine.

RecoMadeEasy^® Embedded Large-Vocabulary Speech Recognition is an embedded natural language speech recognition engine that offers comprehensive conversational voice interaction. The engine has a small memory footprint and is designed to run natively on devices that seek unconstrained natural language interfaces with high recognition accuracy in the presence of service interruption or when full, uninterrupted and secure access to a cloud server is not guaranteed.

The RecoMadeEasy^® Speech Recognition engine has been developed in our research labs in New York. When presented with an audio or audio-video stream, the engine via the API returns JSON or XML results containinng the full transcript of the stream with a configurable number of contending results. The results include a likelihood score as well as a confidence score for each result. The engine also returns the timestamps of turns of audio (sentences). It is also capable of returning the timestamps for the words in the transcript, allowing for alignment and manipulation of the results alongside the original audio stream.

The engine is built to allow users to speak naturally and be understood – even in a far-field, noisy environment. RecoMadeEasy^® (Reco Made Easy) is available as an SDK with an included API that contains all necessary components for full integration and enables engineers to get started easily and without any work or costs for development.

The RecoMadeEasy^® AudioVisual Speech Recognition engine is also available as a server-side and a standalone product.

This engine provides one of the most accurate transcriptions for English, handling many different dialects and accents in a single large-vocabulary transcription engine, It is also capable of providing real-time processing in a small memory footprint.

The speech recognition uses a streaming interface where the recognizer, in the form of listeners and the client, both run on the embedded device. Any light generic client capable of using a websocket interface may stream audio/video to a listener and get back real-time results of the transcript with optional alternative results, including likelihood scores in any codec that is supported by GStreamer-1.0, including MP3, Ogg Vorbis, Free Lossless Audio Codec (FLAC), MP4, Pulse Code Modulation (PCM), or other codecs such as those supported by a standard Waveform Audio File Format (WAVE).

Supported Languages