No Text To Speech Active Developer
Charlesetta Blare
Hi there, ive got access to ChatGPT Plus and want to try out the new GPT4o voice mode. I have updated to the latest app using the playstore and i selected GPT4o, but even tho i selected GPT4o and selected that icon starting the virtual call i still get the classic speach to text text to speech behavior. How do i use the new one where the module is actually able to hear my voice and dosnt get just a voice to text result?
Text to speech is a voice synthesis tool that can be used by apps to convert text to speech. One of the Google provided apps called TalkBack uses this as a screen reader for those who may find it difficult to read or see the screen.
I think what you want to activate is TalkBack as a screen reader - this means if you wanted to do it via the emulator you would have to install TalkBack on your emulator. The answers here may be able to help you, either by downloading the APK from the store or by just opening Google Play from the emulator and installing it. I recommend you go through the tutorial before diving in, as TalkBack uses gestures to navigate. You might not have success as swipes tend to have "levels" (a programmatic adb swipe is different from a swipe with a finger physically on the screen for some odd reason) when it comes to accessibility.
I have found it much easier to test accessibility on real devices, as adb controls are limited. I am trying to improve the situation with my code, but it's slow going and TalkBack is far from perfect.
When you want to use a text-to-speech command, select a cell, a range of cells, or an entire worksheet, and click the Speak Cells button on the Quick Access toolbar. Or, you can click Speak Cells without selecting any cells and Excel will automatically expand the selection to include the neighboring cells that contain values.
This topic describes how you can optimize your application for the Samsung TV text-to-speech (TTS) voice guide feature. The TTS feature is helpful for users with visual limitations, since they can have difficulty using textual on-screen TV features.
Samsung TVs support the accessibility toolkit (ATK) as part of the Web engine. If the user has activated the voice guide feature, the text-to-speech (TTS) engine can read HTML elements on the application screen.
You can support more complex voice guide functionality by implementing roles and descriptions based on the WAI-ARIA (Web Accessibility Initiative - Accessible Rich Internet Applications) standard for Web content accessibility.
Role
To inform the TTS engine that an HTML element has description information, define a role for the element using the ARIA role attributes. If an HTML element does not have a defined role attribute, the Web engine maps a role to it based on the W3C standard HTML Element Role Mappings.
If an HTML element does not have a defined name or label, the Web engine can calculate a name from the element content, if the defined role supports it. Only some roles support calculate a name from content
For compatibility with older TV Web engines that do not fully support the W3C specification, since Tizen 3.0, you can define an empty role attribute (role=""). The voice guide calculates the element name from the content, and does not say a role name. In the following code, the voice guide says: "Featured".
The following popup window uses the tabindex attribute to make the button focusable with JavaScript. When the button in the popup has focus, the voice guide says: "Error Message title, Lorem ipsum dolor sit amet, consectetur adipisicing elit, Button Text, select to close".
In general, you do not need to implement additional code to handle enabling and disabling the voice guide in your application, since it is handled with the TV menu setting. However, you can check whether the voice guide is enabled.
This section describes the support for various ARIA role attributes and their behavior, as implemented in NVDA for Windows computers and on Tizen. The behavior descriptions are based on the example scenarios provided.
This section describes the support for various ARIA state and property attributes and their behavior, as implemented in JAWS for Windows computers and on Tizen. The behavior descriptions are based on the example scenarios provided.
Google Cloud Text-to-Speech API (Beta) allows developers to include natural-sounding, synthetic human speech as playable audio in their applications. The Text-to-Speech API converts text or Speech Synthesis Markup Language (SSML) input into audio data like MP3 or LINEAR16 (the encoding used in WAV files).
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You can use Text-to-Speech API to convert a string into audio data. You can configure the output of speech synthesis in a variety of ways, including selecting a unique voice or modulating the output in pitch, volumn, speaking rate, and sample rate.
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Before we explain how to use the TTS API itself, let's first review a few aspects of the engine that will be important to your TTS-enabled application. We will then show how to make your Android application talk and how to configure the way it speaks.
The TTS engine that ships with the Android platform supports a number of languages: English, French, German, Italian and Spanish. Also, depending on which side of the Atlantic you are on, American and British accents for English are both supported.
The TTS engine needs to know which language to speak, as a word like "Paris", for example, is pronounced differently in French and English. So the voice and dictionary are language-specific resources that need to be loaded before the engine can start to speak.
Although all Android-powered devices that support the TTS functionality ship with the engine, some devices have limited storage and may lack the language-specific resource files. If a user wants to install those resources, the TTS API enables an application to query the platform for the availability of language files and can initiate their download and installation. So upon creating your activity, a good first step is to check for the presence of the TTS resources with the corresponding intent:
A successful check will be marked by a CHECK_VOICE_DATA_PASS result code, indicating this device is ready to speak, after the creation of our android.speech.tts.TextToSpeech object. If not, we need to let the user know to install the data that's required for the device to become a multi-lingual talking machine! Downloading and installing the data is accomplished by firing off the ACTION_INSTALL_TTS_DATA intent, which will take the user to Android Market, and will let her/him initiate the download. Installation of the data will happen automatically once the download completes. Here is an example of what your implementation of onActivityResult() would look like:
In the constructor of the TextToSpeech instance we pass a reference to the Context to be used (here the current Activity), and to an OnInitListener (here our Activity as well). This listener enables our application to be notified when the Text-To-Speech engine is fully loaded, so we can start configuring it and using it.
At Google I/O, we showed an example of TTS where it was used to speak the result of a translation from and to one of the 5 languages the Android TTS engine currently supports. Loading a language is as simple as calling for instance:
to load and set the language to English, as spoken in the country "US". A locale is the preferred way to specify a language because it accounts for the fact that the same language can vary from one country to another. To query whether a specific Locale is supported, you can use isLanguageAvailable(), which returns the level of support for the given Locale. For instance the calls:
will return TextToSpeech.LANG_AVAILABLE. In the first example, French is supported, but not the given country. And in the second, only the language was specified for the Locale, so that's what the match was made on.
Also note that besides the ACTION_CHECK_TTS_DATA intent to check the availability of the TTS data, you can also use isLanguageAvailable() once you have created your TextToSpeech instance, which will return TextToSpeech.LANG_MISSING_DATA if the required resources are not installed for the queried language.
Making the engine speak an Italian string while the engine is set to the French language will produce some pretty interesting results, but it will not exactly be something your user would understand So try to match the language of your application's content and the language that you loaded in your TextToSpeech instance. Also if you are using Locale.getDefault() to query the current Locale, make sure that at least the default language is supported.
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