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Speech To Text Converter for Android

Speech Recognition in Unity3D – The Ultimate Guide

​There are three main strategies in converting user speech input to text:

• Voice Commands
• Free Dictation

These strategies exist in any voice detection engine (Google, Microsoft, Amazon, Apple, Nuance, Intel, or others), therefore the concepts described here will give you a good reference point to understand how to work with any of them. In today’s article, we’ll explore the differences of each method, understand their use-cases, and see a quick implementation of the main ones.

Prerequisites

To write and execute code, you need to install the following software:

• Visual Studio 2019 Community

Unity3D is using a Microsoft API that works on any Windows 10 device (Desktop, UWP, HoloLens, XBOX). Similar APIs also exist for Android and iOS.

Did you know?…

LightBuzz has been helping Fortune-500 companies and innovative startups create amazing Unity3D applications and games. If you are looking to hire developers for your project, get in touch with us.

Source code

The source code of the project is available in our LightBuzz GitHub account. Feel free to download, fork, and even extend it!

1) Voice commands

We are first going to examine the simplest form of speech recognition: plain voice commands.

Description

Voice commands are predictable single words or expressions, such as:

• “Forward”
• “Left”
• “Fire”
• “Answer call”

The detection engine is listening to the user and compares the result with various possible interpretations. If one of them is near the spoken phrase within a certain confidence threshold, it’s marked as a proposed answer.

Since that is a “one or anything” approach, the engine will either recognize the phrase or nothing at all.

This method fails when you have several ways to say one thing. For example, the words “hello”, “hi”, “hey there” are all forms of greeting. Using this approach, you have to define all of them explicitly.

This method is useful for short, expected phrases, such as in-game controls.

Our original article includes detailed examples of using simple voice commands. You may also check out the Voice Commands Scene  on the  sample project .

Below, you can see the simplest C# code example for recognizing a few words:

2) Free Dictation

To solve the challenges of simple voice commands, we shall use the dictation mode.

While the user speaks in this mode, the engine listens for every possible word. While listening, it tries to find the best possible match of what the user meant to say.

This is the mode activated by your mobile device when you speak to it when writing a new email using voice. The engine manages to write the text in less than a second after you finish to say a word.

Technically, this is really impressive, especially considering that it compares your voice across multi-lingual dictionaries, while also checking grammar rules.

Use this mode for free-form text. If your application has no idea what to expect, the Dictation mode is your best bet.

You can see an example of the Dictation mode in the sample project   Dictation Mode Scene . Here is the simplest way to use the Dictation mode:

As you can see, we first create a new dictation engine and register for the possible events.

• It starts with DictationHypothesis events, which are thrown really fast as the user speaks. However, hypothesized phrases may contain lots of errors.
• DictationResult is an event thrown after the user stops speaking for 1–2 seconds. It’s only then that the engine provides a single sentence with the highest probability.
• DictationComplete is thrown on several occasions when the engine shuts down. Some occasions are irreversible technical issues, while others just require a restart of the engine to get back to work.
• DictationError is thrown for other unpredictable errors.

Here are two general rules-of-thumb:

• For the highest quality, use DictationResult .
• For the fastest response, use DictationHypothesis .

Having both quality and speed is impossible with this technic.

Is it even possible to combine high-quality recognition with high speed?

Well, there is a reason we are not yet using voice commands as Iron Man does: In real-world applications, users are frequently complaining about typing errors, which probably happens only less than 10% of the cases… Dictation has many more mistakes than that.

To increase accuracy and keep the speed fast at the same time, we need the best of both worlds — the freedom of the Dictation and the response time of the Voice Commands.

The solution is  Grammar Mode . This mode requires us to write a dictionary. A dictionary is an XML file that defines various rules for the things that the user will potentially say. This way, we can ignore languages we don’t need, and phrases the user will probably not use.

The grammar file also explains to the engine what are the possible words it can expect to receive next, therefore shrinking the amount from ANYTHING to X. This significantly increases performance and quality.

For example, using a Grammar, we could greet with either of these phrases:

• “Hello, how are you?”
• “Hi there”
• “Hey, what’s up?”
• “How’s it going?”

All of those could be listed in a rule that says:

If the user started saying something that sounds like” Hello”, it would be easily differentiated from e.g “Ciao”, compared to being differentiated also from e.g. “Yellow” or “Halo”.

We are going to see how to create our own Grammar file in a future article.

For your reference, this is the official specification for structuring a Grammar file .

In this tutorial, we described two methods of recognizing voice in Unity3D: Voice Commands and Dictation. Voice Commands are the easiest way to recognize pre-defined words. Dictation is a way to recognize free-form phrases. In a future article, we are going to see how to develop our own Grammar and feed it to Unity3D.

Until then, why don’t you start writing your code by speaking to your PC?

You made it to this point? Awesome! Here is the source code for your convenience.

Before you go…

Sharing is caring.

If you liked this article, remember to share it on social media, so you can help other developers, too! Also, let me know your thoughts in the comments below. ‘Til the next time… keep coding!

Shachar Oz is a product manager and UX specialist with extensive experience with emergent technologies, like AR, VR and computer vision. He designed Human Machine Interfaces for the last 10 years for video games, apps, robots and cars, using interfaces like face tracking, hand gestures and voice recognition. Website

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11 comments.

Hello, I have a question, while in unity everything works perfectly, but when I build the project for PC, and open the application, it doesn’t work. Please help.

hi Omar, well, i have built it will Unity 2019.1 as well as with 2019.3 and it works perfectly.

i apologize if it doesn’t. please try to make a build from the github source code, and feel free to send us some error messages that occur.

i apologize if it doesn’t. please try to make a build from the github source code, and feel free to send us some error messages that occur.

Hello, I’m trying Dictation Recognizer and I want to change the language to Spanish but I still don’t quite get it. Can you help me with this?

hi Alexis, perhaps check if the code here could help you: https://docs.microsoft.com/en-us/windows/apps/design/input/specify-the-speech-recognizer-language

You need an object – protected PhraseRecognizer recognizer;

in the example nr 1. Take care and thanks for this article!

Thank you Carl. Happy you liked it.

does this support android builds

Hi there. Sadly not. Android and ios have different speech api. this api supports microsoft devices.

Any working example for the grammar case?

Well, you can find this example from Microsoft. It should work anyway on PC. A combination between Grammar and machine learning is how most of these mechanisms work today.

https://learn.microsoft.com/en-us/dotnet/api/system.speech.recognition.grammar?view=netframework-4.8.1#examples

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Android speech to text plugin for Unity with no modal or pop up box.

MatthewHallberg/AndroidSpeechToText

Folders and files.

Repository files navigation

Androidspeechtotextpluginforunity.

Android speech to text plugin for Unity with no modal or pop up box. There is a test.apk if you want to just try it out. The Android studio project for the plugin is here if you want to recompile it. The plugin was made using this library for Android: https://github.com/maxwellobi/Android-Speech-Recognition

Unity Speech Recognition

This article serves as a comprehensive guide for adding on-device Speech Recognition to an Unity project.

When used casually, Speech Recognition usually refers solely to Speech-to-Text . However, Speech-to-Text represents only a single facet of Speech Recognition technologies. It also refers to features such as Wake Word Detection , Voice Command Recognition , and Voice Activity Detection ( VAD ). In the context of Unity projects, Speech Recognition can be used to implement a Voice Interface .

Fortunately Picovoice offers a few tools to help implement Voice Interfaces . If all that is needed is to recognize when specific phrases or words are said, use Porcupine Wake Word . If Voice Commands need to be understood and intent extracted with details (i.e. slot values), Rhino Speech-to-Intent is more suitable. Keep reading to see how to quickly start with both of them.

Picovoice Unity SDKs have cross-platform support for Linux , macOS , Windows , Android and iOS !

Porcupine Wake Word

To integrate the Porcupine Wake Word SDK into your Unity project, download and import the latest Porcupine Unity package .

Sign up for a free Picovoice Console account and obtain your AccessKey . The AccessKey is only required for authentication and authorization.

Create a custom wake word model using Picovoice Console.

Download the .ppn model file and copy it into your project's StreamingAssets folder.

Write a callback that takes action when a keyword is detected:

• Initialize the Porcupine Wake Word engine with the callback and the .ppn file name (or path relative to the StreamingAssets folder):
• Start detecting:

For further details, visit the Porcupine Wake Word product page or refer to Porcupine's Unity SDK quick start guide .

Rhino Speech-to-Intent

To integrate the Rhino Speech-to-Intent SDK into your Unity project, download and import the latest Rhino Unity package .

Create a custom context model using Picovoice Console.

Download the .rhn model file and copy it into your project's StreamingAssets folder.

Write a callback that takes action when a user's intent is inferred:

• Initialize the Rhino Speech-to-Intent engine with the callback and the .rhn file name (or path relative to the StreamingAssets folder):
• Start inferring:

For further details, visit the Rhino Speech-to-Intent product page or refer to Rhino's Android SDK quick start guide .

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Posted on Jan 31 • Originally published at edenai.co

How to use Text-to-Speech in Unity

Enhance your Unity game by integrating artificial intelligence capabilities. This Unity AI tutorial will walk you through the process of using the Eden AI Unity Plugin, covering key steps from installation to implementing various AI models.

What is Unity ?

Established in 2004, Unity is a gaming company offering a powerful game development engine that empowers developers to create immersive games across various platforms, including mobile devices, consoles, and PCs.

If you're aiming to elevate your gameplay, Unity allows you to integrate artificial intelligence (AI), enabling intelligent behaviors, decision-making, and advanced functionalities in your games or applications.

Unity offers multiple paths for AI integration. Notably, the Unity Eden AI Plugin effortlessly syncs with the Eden AI API, enabling easy integration of AI tasks like text-to-speech conversion within your Unity applications.

Benefits of integrating Text to Speech into video game development

Integrating Text-to-Speech (TTS) into video game development offers a range of benefits, enhancing both the gaming experience and the overall development process:

1. Immersive Player Interaction

TTS enables characters in the game to speak, providing a more immersive and realistic interaction between players and non-player characters (NPCs).

2. Accessibility for Diverse Audiences

TTS can be utilized to cater to a diverse global audience by translating in-game text into spoken words, making the gaming experience more accessible for players with varying linguistic backgrounds.

3. Customizable Player Experience

Developers can use TTS to create personalized and adaptive gaming experiences, allowing characters to respond dynamically to player actions and choices.

4. Innovative Gameplay Mechanics

Game developers can introduce innovative gameplay mechanics by incorporating voice commands, allowing players to control in-game actions using spoken words, leading to a more interactive gaming experience.

5. Adaptive NPC Behavior

NPCs with TTS capabilities can exhibit more sophisticated and human-like behaviors, responding intelligently to player actions and creating a more challenging and exciting gaming environment.

6. Multi-Modal Gaming Experiences

TTS opens the door to multi-modal gaming experiences, combining visual elements with spoken dialogues, which can be especially beneficial for players who prefer or require alternative communication methods.

Integrating TTS into video games enhances the overall gameplay, contributing to a more inclusive, dynamic, and enjoyable gaming experience for players.

Use cases of Video Game Text-to-Speech Integration

Text-to-Speech (TTS) integration in video games introduces various use cases, enhancing player engagement, accessibility, and overall gaming experiences. Here are several applications of TTS in the context of video games:

Quest Guidance

TTS can guide players through quests by providing spoken instructions, hints, or clues, offering an additional layer of assistance in navigating game objectives.

Interactive Conversations

Enable players to engage in interactive conversations with NPCs through TTS, allowing for more realistic and dynamic exchanges within the game world.

Accessibility for Visually Impaired Players

TTS aids visually impaired players by converting in-game text into spoken words, providing crucial information about game elements, menus, and story developments.

Character AI Interaction

TTS can enhance interactions with AI-driven characters by allowing them to vocally respond to player queries, creating a more realistic and immersive gaming environment.

Interactive Learning Games

In educational or serious games, TTS can assist in delivering instructional content, quizzes, or interactive learning experiences, making the gameplay educational and engaging.

Procedural Content Generation

TTS can contribute to procedural content generation by dynamically narrating events, backstory, or lore within the game, adding depth and context to the gaming world.

‍ Integrating TTS into video games offers a versatile set of applications that go beyond traditional text presentation, providing new dimensions of interactivity, accessibility, and storytelling.

How to integrate TTS into your video game with Unity

Step 1. install the eden ai unity plugin.

Ensure that you have a Unity project open and ready for integration. If you haven't installed the Eden AI plugin, follow these steps:

• Open your Unity Package Manager
• Add package from GitHub ‍

Step 2. Obtain your Eden AI API Key

To get started with the Eden AI API, you need to sign up for an account on the Eden AI platform.

Try Eden AI for FREE

Once registered, you will get an API key which you will need to use the Eden AI Unity Plugin. You can set it in your script or add a file auth.json to your user folder (path: ~/.edenai (Linux/Mac) or %USERPROFILE%/.edenai/ (Windows)) as follows:

Alternatively, you can pass the API key as a parameter when creating an instance of the EdenAIApi class. If the API key is not provided, it will attempt to read it from the auth.json file in your user folder.

Step 3. Integrate Text-to-Speech on Unity

Bring vitality to your non-player characters (NPCs) by empowering them to vocalize through the implementation of text-to-speech functionality.

Leveraging the Eden AI plugin, you can seamlessly integrate a variety of services, including Google Cloud, OpenAI, AWS, IBM Watson, LovoAI, Microsoft Azure, and ElevenLabs text-to-speech providers, into your Unity project (refer to the complete list here).

This capability allows you to tailor the voice model, language, and audio format to align with the desired atmosphere of your game.

Open your script file where you want to implement the text-to-speech functionality.

Import the required namespaces at the beginning of your script:

• Create an instance of the Eden AI API class:
• Implement the SendTextToSpeechRequest function with the necessary parameters:

Step 4: Handle the Text-to-Speech Response

The SendTextToSpeechRequest function returns a TextToSpeechResponse object.

Access the response attributes as needed. For example:

Step 5: Customize Parameters (Optional)

The SendTextToSpeechRequest function allows you to customize various parameters:

• Rate: Adjust speaking rate.
• Pitch: Modify speaking pitch.
• Volume: Control audio volume.
• VoiceModel: Specify a specific voice model.
• Include these optional parameters based on your preferences. ‍

Step 6: Test and Debug

Run your Unity project and test the text-to-speech functionality. Monitor the console for any potential errors or exceptions, and make adjustments as necessary.

Now, your Unity project is equipped with text-to-speech functionality using the Eden AI plugin. Customize the parameters to suit your game's atmosphere, and enhance the immersive experience for your players.

TTS integration enhances immersion and opens doors for diverse gameplay experiences. Feel free to experiment with optional parameters for further fine-tuning. Explore additional AI functionalities offered by Eden AI to elevate your game development here.

About Eden AI

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

• Centralized and fully monitored billing
• Unified API: quick switch between AI models and providers
• Standardized response format: the JSON output format is the same for all suppliers.
• The best Artificial Intelligence APIs in the market are available
• Data protection: Eden AI will not store or use any data.

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Overtone - Realistic AI Offline Text to Speech (TTS)

Overtone is an offline Text-to-Speech asset for Unity. Enrich your game with 15+ languages, 900+ English voices, rapid performance, and cross-platform support.

Getting Started

Welcome to the Overtone documentation! In this section, we’ll walk you through the initial steps to start using the tools. We will explain the various features of Overtone, how to set it up, and provide guidance on using the different models for text to speech

Overtone provides a versatile text-to-speech solution, supporting over 15 languages to cater to a diverse user base. It is important to note that the quality of each model varies, which in turn affects the voice output. Overtone offers four quality variations: X-LOW, LOW, MEDIUM, and HIGH, allowing users to choose the one that best fits their needs.

The plugin includes a default English-only model, called LibriTTS, which boasts a selection of more than 900 distinct voices, readily available for use. As lower quality models are faster to process, they are particularly well-suited for mobile devices, where speed and efficiency are crucial.

How to download models

The TTSVoice component provides a convenient interface for downloading the models with just a click. Alternatively you can open the window from Window > Overtone > Download Manager

The plugin contains a demos to demonstrate the functionality: Text to speech. You can input text, select a downloaded voice in the TTSVoice component an listen to it

This class loads and setups the model into memory. It should be added into scenes that Overtone is planned to be used. It exposes 1 method, Speak which receives a string and a TTSVoice and returns an audioclip.

Example programatic usage:

This script loads a voice model and frees it when necessary. It also allows the user to select the speaker id to use in the voice model.

Script Reference for TTSVoice.cs

TTSPlayer.cs is a script that combines a TTSVoice and a TTSEngine into synthesized text.

Script Reference for TTSPlayer.cs

SSMLPreprocessor

SSMLPreprocessor.cs is a static class that offers limited SSML (Speech Synthesis Markup Language) support for Overtone. Currently, this class supports preprocessing for the <break> tag.

Speech Synthesis Markup Language (SSML) is an XML-based markup language that provides a standard way to control various aspects of synthesized speech output, including pronunciation, volume, pitch, and speed.

While we plan to add partial SSML support in future updates, for now, the SSMLPreprocessor class only recognizes the <break> tag.

The <break> tag allows you to add a pause in the synthesized speech output.

Supported Platforms

Overtone supports the following platforms:

If interested in any other platforms, please reach out.

Troubleshooting

For any questions, issues or feature requests don’t hesitate to email us at [email protected] or join the discord . Very are happy to help and aim to have very fast response times :)

We are a small company focused on building tools for game developers. Send us an email to [email protected] if interested in working with us. For any other inquiries, feel free to contact us at [email protected] or contact us on the discord

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Introducing the Unity Text-to-Speech Plugin from ReadSpeaker

Having trouble adding synthetic speech to your next video game release? Try the Unity text-to-speech plugin from ReadSpeaker AI. Learn more here.

As a game developer, how will you use text to speech (TTS)?

We’ve only begun to discover what this tool can do in the hands of creators. What we do know is that TTS can solve tough development problems , that it’s a cornerstone of accessibility , and that it’s a key component of dynamic AI-enhanced characters: NPCs that carry on original conversations with players.

There have traditionally been a few technical roadblocks between TTS and the game studio: Devs find it cumbersome to create and import TTS sound files through an external TTS engine. Some TTS speech labors under perceptible latency, making it unsuitable for in-game audio. And an unintegrated TTS engine creates a whole new layer of project management, threatening already drum-tight production schedules.

What devs need is a latency-free TTS tool they can use independently, without leaving the game engine—and that’s exactly what you get with ReadSpeaker AI’s Unity text-to-speech plugin.

ReadSpeaker AI’s Unity Text-to-Speech Plugin

ReadSpeaker AI offers a market-ready TTS plugin for Unity and Unreal Engine, and will work with studios to provide APIs for other game engines. For now, though, we’ll confine our discussion to Unity, which claims nearly 65% of the game development engine market. ReadSpeaker AI’s TTS plugin is an easy-to-install tool that allows devs to create and manipulate synthetic speech directly in Unity: no file management, no swapping between interfaces, and a deep library of rich, lifelike TTS voices. ReadSpeaker AI uses deep neural networks (DNN) to create AI-powered TTS voices of the highest quality, complete with industry-leading pronunciation thanks to custom pronunciation dictionaries and linguist support.

With this neural TTS at their fingertips, developers can improve the game development process—and the player’s experience—limited only by their creativity. So far, we’ve identified four powerful uses for a TTS game engine plugin. These include:

• User interface (UI) narration for accessibility. User interface narration is an accessibility feature that remediates barriers for players with vision impairments and other disabilities; TTS makes it easy to implement. Even before ReadSpeaker AI released the Unity plugin, The Last of Us Part 2 (released in 2018) used ReadSpeaker TTS for its UI narration feature. A triple-A studio like Naughty Dog can take the time to generate TTS files outside the game engine; those files were ultimately shipped on the game disc. That solution might not work ideally for digital games or independent studios, but a TTS game engine plugin will.
• Prototyping dialogue at early stages of development. Don’t wait until you’ve got a voice actor in the studio to find out your script doesn’t flow perfectly. The Unity TTS plugin allows developers to draft scenes within the engine, tweaking lines and pacing to get the plan perfect before the recording studio’s clock starts running.
• Instant audio narration for in-game text chat. Unity speech synthesis from ReadSpeaker AI renders audio instantly at runtime, through a speech engine embedded in the game files, so it’s ideal for narrating chat messages instantly. This is another powerful accessibility tool—one that’s now required for online multiplayer games in the U.S., according to the 21st Century Communications and Video Accessibility Act (CVAA). But it’s also great for players who simply prefer to listen rather than read in the heat of action.
• Lifelike speech for AI NPCs and procedurally generated text. Natural language processing allows software to understand human speech and create original, relevant responses. Only TTS can make these conversational voicebots—which is essentially what AI NPCs are—speak out loud. Besides, AI NPCs are just one use of procedurally generated speech in video games. What are the others? You decide. Game designers are artists, and dynamic, runtime TTS from ReadSpeaker AI is a whole new palette.

Text to Speech vs. Human Voice Actors for Video Game Characters

Note that our list of use cases for TTS in game development doesn’t include replacing voice talent for in-game character voices, other than AI NPCs that generate dialogue in real time. Voice actors remain the gold standard for character speech, and that’s not likely to change any time soon. In fact, every great neural TTS voice starts with a great voice actor; they provide the training data that allows the DNN technology to produce lifelike speech, with contracts that ensure fair, ethical treatment for all parties. So while there’s certainly a place for TTS in character voices, they are not a replacement for human talent. Instead, think of TTS as a tool for development, accessibility, and the growing role of AI in gaming.

ReadSpeaker AI brings more than 20 years of experience in TTS, with a focus on performance. That expertise helped us develop an embedded TTS engine that renders audio on the player’s machine, eliminating latency. We also offer more than 90 top-quality voices in over 30 languages, plus SSML support so you can control expression precisely. These capabilities set ReadSpeaker AI apart from the crowd. Curious? Keep reading for a real-world example.

ReadSpeaker AI Speech Synthesis in Action

Soft Leaf Studios used ReadSpeaker AI’s Unity text-to-speech plugin for scene prototyping and UI and story narration for its highly accessible game, in development at publication time, Stories of Blossom . Check out this video to see how it works:

“Without a TTS plugin like this, we would be left guessing what audio samples we would need to generate, and how they would play back,” Conor Bradley, Stories of Blossom lead developer, told ReadSpeaker AI. “The plugin allows us to experiment without the need to lock our decisions, which is a very powerful tool to have the privilege to use.”

This example begs the question every game developer will soon be asking themselves, a variation on the question we started with: What could a Unity text-to-speech plugin do for your next release? Reach out to start the conversation .

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