How to Create a Voice Translation App?

 
YEREVAN, Armenia - April 14, 2022 - PRLog -- Voice translation is the next level of translation revolution. It is the process by which conversational spoken phrases are instantly translated and spoken aloud in a target language.

Microsoft has developed software that translates not only texts but also speech. Microsoft's speech translation can translate audio from more than 30 languages. The speech translation is powered by neural machine translation technology.

Must Have Features for Your Voice Translation App

Voice Translator:
the application generates speech-to-speech translation letting you talk directly with someone who doesn't know your language.

Edit Text: the app lets you edit the text of your message.

Text Translation: Lets type or copy text for translation.

Photo Translation: allows users to take a photo and translate.

Handwriting: Users can draw text characters instead of typing.

How to Create a Voice Translation App: Technical Aspects

The core features of voice translation are based on three technologies:
  1. Automatic speech recognition (ASR) – The app recognizes your voice and words and transforms them into written text.
  2. Machine translation (MT) – The transformed text is then translated with a machine translation module.
  3. Voice synthesis (TTS) – The translated text is spoken in a target language.
No matter if you want to create a voice translation app from scratch or to integrate voice translation components, the technology of translation service is almost identical. The formula of voice translation consists of two components. It is as follows:
Microservice - implemented on the cloud using Cloud AI features to translate the message:
  • Speech-to-Text
  • Cloud Translation
  • Text-to-Speech

Tasks performed by the microservice include:
  1. Receives encoded audio messages.
  2. Transcribes the audio message with the Speech-to-Text API.
  3. Translates the transcribed message with the Translation API.
  4. Synthesizes the translated message with the Text-to-Speech API.
  5. Stores the translated message in Cloud Storage.
  6. Sends the translated response back to the client.

Client app - the client component records audio messages and later downloads the translated message from the Cloud Storage bucket.

Tasks performed by the client app include:
  1. Records the audio message with the Speech-to-Text API.
  2. Encodes the audio message.
  3. Sends an HTTP request to the microservice with the encoded audio message.
  4. Receives the HTTP response to the locale of the translated audio message from the microservice.
  5. Sends a request to the Cloud Storage bucket to retrieve the translated audio message.
  6. Plays the translated audio message.

How Much Does it Cost to Create a Voice Translation App?

The approximate voice translation app development cost is $25.000 – $30.000. The price is calculated based on minimum viable product features without post-release support and maintenance.

For more information about how to create a voice translation app, see the following article:

How to Create a Voice Translation App: Features, Cost & Tech Details (https://addevice.io/blog/how-to-create-a-voice-translatio...)
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