Go to Settings > System or General Management > Language and input > On-screen keyboard and tap the Google voice typing toggle to turn off speech-to-text on Android.


The main difference between speech-to-text apps and transcription software is that speech-to-text applications convert real-time spoken words into written text. In contrast, transcription software creates a text copy from an audio file, which requires uploading a pre-recorded audio file.


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Nagish is a free app that converts text-to-speech and speech-to-text in real time, making it easy to place and receive calls by typing and reading instead of or in addition to speaking and hearing. The calls are completely private, and the technology supports multiple languages, including English, Spanish, Hebrew, Italian, French, and Japanese.

Speechnotes is a free speech-to-text app that offers a simple and user-friendly interface. The app allows users to dictate while it saves the text automatically. Speechnotes supports various languages, including English, Spanish, French, German, and more.

Speech to Text is another popular speech-to-text app for Android devices. Includes real-time transcription, custom vocabulary, and support for multiple languages. The app allows users to edit transcriptions and export them as text files.

Notta is a speech-to-text app for transcribing audio files and video calls live or post-recording with the help of AI. This transcription software is mostly used in the workplace, the app can transcribe and summarize audio/video recordings, face-to-face meetings, and presentation demos in one space with the ability to organize your transcripts and voice notes in folders. This can be a supportive tool for deaf or hard of hearing individuals to support their integration into office communications.

In conclusion, you can find several excellent speech-to-text apps available for Android devices, each with unique features and capabilities. Whether you're looking for a simple and user-friendly app or a professional-grade tool, there's an app out there that will meet your needs.

Google and Apple needs to open up their speech-to-text APIs to assistive applications, pronto, because operatorless telephone transcription is finally now practical, at least when calling family members (good voices & coached to be in a quiet environment when receiving call). The continuous recognition time limit needs to also be removed during this situation, too.

As you probably know, implementing speech-to-text is pretty easy with the Android API. All you have to do is just call up the API's intent and it will return text for you. My case is a bit different, I have a prerecorded 3GPP sound file that I've recorded from the user and is saved on the SD card. I want to know if it's possible to transcribe that into text like any other speech recognition. Does the speech-to-text API allow for uploading you're own sound files to be processed? Or is this impossible?

It is currently not possible to send your own audio file to google for processing but instead you can use your speaker and microphone in your android device to use your audio file as an input to google voice recognition.

thank you soooo much, I saw deepspeech examples but most of them are written with python, and I know nothing about python ): , if u know anything about connecting this model ( _kurdish_xlsr) with an android app, please let me know

SpeechTexter is a free multilingual speech-to-text application aimed at assisting you with transcription of notes, documents, books, reports or blog posts by using your voice. This app also features a customizable voice commands list, allowing users to add punctuation marks, frequently used phrases, and some app actions (undo, redo, make a new paragraph).

Speech-to-text apps are unregulated, which is fine for personal use, but for communication needs in the workplace and in health care settings, we recommend regulated alternatives such as speech-to-text reporters for transcribing in-person or online meetings and appointments, and the Relay UK app for transcribing phone calls via a live relay assistant.

We at Speechnotes, Speechlogger, TextHear, Speechkeys value your privacy, and that's why we do not store anything you say or type or in fact any other data about you - unless it is solely needed for the purpose of your operation. We don't share it with 3rd parties, other than Google / Microsoft for the speech-to-text engine.

on android mobile there is a text to speech app (the opposite) named '@voiceapp'

I don't know any free engine for speech to text. There are apps on windows (onenote), Chrome is able to manage that too but I never tried.

I've just found list of speech to text recognition software on wikipedia.

The app offers two main ways of recording your notes. You can either use the speech-to-text feature to see a transcribed version of your notes on the screen, or you can save the audio file and listen to it later. Additionally, Voice Notes has a reminder feature. This lets you set a time for the nudge, along with the type of alert you want to receive. You can even create recurring reminders.

SpeechTexter is a speech-to-text Android app that works both online and offline. The app uses Google's database, so if you want to use the offline mode, you'll need to download the necessary language packs.

The app supports over 70 languages and works pretty decently with most of them. In addition to basic dictation and speech-to-text, you can use SpeechTexter to create SMS messages, emails, and tweets. The app also boasts a custom dictionary; adding personal information such as phone numbers and addresses is easy.

Voice Notebook is a full-featured speech-to-text app for Android. Its key features include a customizable list of auto-replaced words and punctuation, a voice-activated undo command, and the ability to import text files from file managers and Google Drive. The app also offers on-screen word and character counters for all your voice notes and dictations.

Dictate lets you use speech-to-text to author content in Office (e.g., Word, PowerPoint, Outlook) with a microphone and reliable internet connection. Use your voice to quickly create documents, emails, notes, presentations, or even slide notes.

Speechtexter is a free speech-to-text application that can use your own voice to help transcribe notes, reports, books, etc. Highly recommended for users with dyslexia, as well as those with hand or hearing impairment.

Sometimes I talk instead of type. I configure speech-to-text software to capture my voice, then just talk. I often end up with a bunch of text to edit. I find talking to be an excellent alternative to typing to capture not yet fully formed ideas.

When predictive text is disabled for a keyboard, Android also removes the ability to use speech-to-text and handwriting conversion. Not sure why they do this, I am guessing for those features to operate it needs to predict what is converted from the input received.

The best voice text software makes it pretty straightforward and effortless to transcribe speech to text. While the most exceptional speech-to-text software was once only intended for desktops, the discovery of mobile devices and the vast growth of easily accessible applications mean that you can now convert speech to text on mobile devices such as smartphones, tablets, etc.

A speech-to-text program can increase productivity and generate more profits, especially for those running their own business. Speech-to-text software is vital for saving you time and effort that is best spent somewhere else.

The app can also transcribe. It can add events to the calendar, draft emails, send messages, and manage tasks. While it's not purely a speech-to-text app, it does help one organize their thoughts and notes with speech recognition.

When comparing speech-to-text apps, look for features that fit how you communicate. If you do not use your voice, does the app allow you to type your question or response? If yes, does it read it aloud for the other party? What languages can the app caption? Are font sizes adjustable?

When deciding which speech-to-text app to use, first consider what your actual needs are, as free and budget options may only provide basic features, so if you need to use advanced tools you may find a paid-for platform is better suited to you. Additionally, higher-end software can usually cater for every need, so do ensure you have a good idea of which features you think you may require from your speech-to-text app.

Speech-to-text used to be regarded as very niche, specifically serving either people with accessibility needs or for dictation. However, speech-to-text is moving more and more into the mainstream as office work can now routinely be completed more simply and easily by using voce-recognition software, rather than having to type through members, and speaking aloud for text to be recorded is now quite common.

However, different speech-to-text programs have different levels of ability and complexity, with some using advanced machine learning to constantly correct errors flagged up by users so that they are not repeated. Others are downloadable software which is only as good as its latest update.

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:

On Android, each audio stream that is played is associated with one stream type, as defined in android.media.AudioManager. For a talking alarm clock, we would like our text to be played on the AudioManager.STREAM_ALARM stream type so that it respects the alarm settings the user has chosen on the device. The last parameter of the speak() method allows you to pass to the TTS engine optional parameters, specified as key/value pairs in a HashMap. Let's use that mechanism to change the stream type of our utterances: ff782bc1db

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