tencent cloud

Game Multimedia Engine

Product Introduction
Overview
Strengths
Features
Scenarios
Compliance
Console Guide
Usage Querying
Activating Services
Getting Started
Quick Integration of SDK
Quick Integration of Sample Project
Basic Feature Development Guide
Authentication Key
Voice Chat Role Configuration
Sound Quality
Client API
SDK for Unity
SDK for Unreal Engine
Cocos2D SDK
SDK for Windows
SDK for iOS
SDK for Android
SDK for macOS
H5 SDK
Electron SDK
SDK for Flutter
SDK Version Upgrade Guide
Error Codes
Toolchain
Server APIs
History
Introduction
API Category
Usage APIs
Recording APIs
Making API Requests
Voice Chat APIs
Application APIs
Data Types
Error Codes
FAQ
Product Features
Troubleshooting Guide
Billing
Sample Project Usage
General
Authentication
Voice Chat Room Entry Failure
Sound and Audio
Network
Speech-to-text Conversion
Program Export
Service Agreement
Service Level Agreement
Política GME
Contrato de Privacidade e Segurança de Dados
Política de privacidade

Speech-to-Text Conversion

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Última atualização: 2024-01-18 11:33:46
GME's speech-to-text conversion service can convert a recording file or a streaming voice message to text in up to 125 languages in real time.

Overview

Recording file to text conversion: GME can convert a recorded audio file to text.
Streaming voice message to text conversion: GME can convert players' voice messages to text in real time.

Use cases

GME can get the text result in real time when a player holds the button to speak in a chat channel.
GME can convert voice messages in a chat channel to text.
In word guessing scenarios such as concert and Draw Something, GME can convert players' audio files for policy hitting.
In human-computer interaction and interaction with AI bot in the game, GME enables players to chat with the bot.

Product features

1. GME supports speech-to-text conversion in 125 languages.
2. GME calls back the audio stream recognition result immediately to the client and server to help the game implement the business logic conveniently.
3. GME improves the keyword recognition accuracy through custom trending keyword dictionaries.

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