To improve quality and accuracy, experiment with alternative setups. Easily compare quality: Experiment with your spoken audio using our simple user interface to compare quality.Our upgraded phone call model, for example, is adjusted for audio from telephony, such as calls recorded at an 8khz sample rate. Domain-specific models: Choose from a variety of voice control and phone call and video transcription training models that are tuned for domain-specific quality needs.Classes can transform spoken numbers into addresses, years, currencies, etc. Adaptation of speech: Improve the accuracy of your transcription of specific words or phrases by customizing speech recognition to transcribe domain-specific terms and rare words by offering clues.Use Google’s most potent deep learning, neural network techniques (ASR) for automatic voice recognition.

Use the API to deploy voice recognition in the Cloud, or use Speech-to-Text On-Prem to deploy speech recognition on-premises. For example, classes can transform spoken numbers into addresses, years, currencies, etc.Ĭustom resources can be created, managed, and experimented with using the Speech-to-Text UI. It also improves the accuracy of your transcription of specific words or phrases by customizing speech recognition to transcribe domain-specific terms and rare words by offering clues. The Text-to-Speech API transforms text or Speech Synthesis Markup Language (SSML) input into MP3 or LINEAR16 audio data (the encoding used in WAV files). Developers may use the Google Cloud Text-to-Voice API to integrate natural-sounding, synthetic human speech as playable audio in their apps. The Google Text-to-Speech application converts text into audio.

Text to speech api by google