Transcription is a very important skill in many endeavors and businesses. Converting speech to text can be done automatically or manually, but either way, speed and accuracy are of vital importance. Manual transcription is a skill that court reporters and administrative assistants use on a day-to-day basis and it requires significant practice and experience to master effectively. Transcription programs are sometimes useful, but it depends greatly on the clarity of the original voice source, since a program will not interpret dialects or low voice quality as effectively as the human ear can. Either way, converting recorded speech to text requires patience. Manually Step 1 Play the recording and type out the words that are spoken as best you can into a word processing program on a computer. You may need to stop the recording from time to time to catch up. If you are not good at typing yourself, see if a friend can do the typing for you. Step 2 Run a spell check on the transcription after you've finished typing to find and correct any errors.
498" app:layout_constraintTop_toBottomOf="@+id/textOutput" /> > This gives us the following layout: Adding speech recognition to your Android app We capture and process speech input in two steps: 1. Start RecognizerIntent The easiest way to perform Speech-to-Text conversion is to use TION_RECOGNIZE_SPEECH. This Intent prompts the user for vocal input by launching Android's familiar microphone dialog box. Once the user stops talking, the dialog will close automatically and ACTION_RECOGNIZE_SPEECH will send the recorded audio through a speech recognizer. We start TION_RECOGNIZE_SPEECH using startActivityForResult() with bundled extras. Note that unless specified otherwise, the recognizer will use the device's default locale. public void onClick(View v) { //Trigger the RecognizerIntent intent// Intent intent = new Intent(TION_RECOGNIZE_SPEECH); try { startActivityForResult(intent, REQUEST_CODE);} catch (ActivityNotFoundException a) {}} 2. Receiving the speech response Once the speech recognition operation is complete, ACTION_RECOGNIZE_SPEECH will send the results back to the calling Activity as an Array of strings.
Documentation Speech-to-Text basics Learn the fundamental concepts in Speech-to-Text. Quickstart: Using the gcloud tool Send an audio transcription request to Speech-to-Text using the gcloud tool from the command line. Best practices Review the best practices for transcribing audio with Speech-to-Text. Supported languages Learn which languages are available for Speech-to-Text, plus the features and recognition models available for each. Learn more about Speech-to-Text On-Prem, which enables easy integration of Google speech recognition technology into your on-premises solutions. Use cases Use case Improve customer service Empower your customer service system by adding IVR (interactive voice response) and agent conversations to your call centers. Perform analytics on your conversation data to gain more insights into the calls and your customers. Speech-to-Text and its enhanced phone call models are already powering Google Cloud's powerful solution, Contact Center AI. Enable voice control Implement voice commands such as "turn the volume up, " and voice search such as saying "what is the temperature in Paris? "