Emotion Text to Speech

 

Introduction

Emotion Text to Speech (ETTS) Engine converts text and emotion values to audio data.

 

ETTS Engine

 

ETTS Engine by ThinQ.AI supports the following features:

Feature Description
Comprehensive analysis

Analyzes text inputted by the user, examining pronunciation, syllables, phrases, context, parts of speech, etc.

Advanced speech synthesis Learns words and writings based on artificial neural network technology, deduce meanings according to a given text, and produce speech data. (based on a Sequence to Sequence model).
Fast response time Generates audio data as soon as the user inputs text.
Human-like speech Employs natural, human-like speech using the latest deep learning technology.
Multi-language support Korean and English
Voice emotion selection Allows the selection of voice emotion according to user preferences
Voice gender selection Allows the selection of voice gender according to user preferences
Speech speed control Offers five-speed levels to deliver speech output.
Pitch tuning Customizes voice pitch according to user preferences.
Volume control Offers ten-levels of volume control.

 

Engine Structure

ETTS Engine passes text entered by the user and emotion data to ETTS Server and stores the audio data passed by ETTS Server in storage.

ETTS Server processes the data passed by ETTS Engine to generate audio data and passes it to ETTS Engine.

 

ETTS 엔진 아키텍쳐

 

Examples of Use

ETTS Engine is used in a variety of areas that require voice-based services. ETTS Engine can be also used in audio description for the visually impaired, audiobook, or any application that plays voice audio.

 

  • Voice of Artificial Intelligence Robot

The robot can communicate with the user with an emotional voice.

ETTS Engine usecase

  • ARS Guided Voice

ARS guidance service is provided by an emotional voice depending on the customer's mood.

ETTS Engine usecase

  • Voice on navigation

Navigation informs the destination and direction with emotion and voice set by the user.

ETTS Engine usecase