Speech Recognition

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Selvy STT-Embedded

embedded_stt
As a speech recognition solution for devices, Selvy STT: Embedded guarantees efficient performance as optimized for environments with limited CPU or memory.
It provides stable recognition performance in noisy environments, such as in a vehicle, and is applicable to various types of mobile and digital devices(embedded stt).
Major Application Examples  
Navigation
Extremely useful when setting the destination and navigating via voice
Black box/ Cell phone
Supports the "Voice Trigger" function to recognize the
device's(embedded stt) commands and execute the speech recognition actions.

Features and benefits of the solution

stt_devices

Implements a real-time recognition
feature for a large number words
in various types of hardware devices
and operating systems
stt_algorithms

Applies the existing speech recognition
method as well as notable phonemic
awareness-based recognition algorithms
stt_vocabulary

Recognizes fixed vocabulary
as well as variable vocabulary
speech_to_text_recognition

Utilizes a feature extraction
technique,reflecting the variation
of the input devices
stt_pronunciation

Improves the recognition rate and
the reliability of the recognition results
by applying post-processing techniques
such as the models considering the
variation of pronunciation and
the surrounding noise
stt_application

Equipped with a replaceable recognition
vocabulary set, which can be adapted for various application scenarios
stt_dictionary

Minimizes the memory usage
by compacting the millions of words
in the pronunciation dictionary
stt_korean

Applies sound model technology
which fully reflect Han-geul
phonetic values
stt_voice

Supports the Voice UI design,
optimized for the device environments
as well as the verification feature

User environment and product specifications

Items Selvy STT_Embedded
OS Windows CE, Embedded Linux, ISO, Android
CPU 300 MHz recommended for less than 1,000 words, and over 500 MHz recommended for around 100,000 words
RAM Requires 4 MB by default (Add up 1.2 MB per 100,000 words)
ROM Requires 2 MB by default (Add up 1.2 MB per 100,000 words)
Recognized words Up to one million