Google Releases the Biggest Overhaul for Cloud Speech-To-Text Engine
Last month, Google came with Cloud Text-to-Speech Engine for developers around the world, with voices of 32 variants as well as 12 languages. But now, the organization has come up with a major update for the other product. Including the cloud AI speech lineup – Cloud Speech-to-Text Engine. It is also be known as the Cloud Speech API.
The Cloud Speech-to-Text Engine release in 2016 has been present for developers for one year. However, with the latest updates, Google has various new features as well as engine updates that are expect to be more useful for businesses. Even in this, there are phone calls and video transcriptions.
With the Google release note, the updated or new cloud speech-to-text engine will support:
- Proper selection of pre-built models for better transcription precision from phone calls as well as videos.
- Automatic punctuations to advance readability of transcribe long audio.
- Recognition Metadata to tag as well as a group your transcription workloads
- SLA with a commitment to all the time availability
Phone Calls and Video Transcription Models
It has been definitely plan for business usage cases like in call centers, where there is a necessity to keep track of all communication going on between company and customers.
The API can simply support up to 4 speakers for the phone calls and over the 4 speakers on video calls. While flawlessly accounting for the background noise, static from handsets, and other agents.
Features of Google Speech-to-Text
- Global Vocabulary
The NN API of Cloud Speech-to-Text knows 120 languages and variants with widespread vocabulary.
- Automatic Speech Recognition
Automatic speech recognition is given from deep knowledge of the neural network to power applications such as speech transcription, voice search, etc.
- Word Suggestion
Recognition of speech can be adapt to specific text by giving a set of words or phrases, which are likely to be spoken. Especially, it is beneficial for the accumulation of custom words or names to vocabulary.
- Noise Robustness
It can manage noisy audio from the many different environments without demanding extra noise cancellation.
- Automatic Punctuation
It is able to deliver punctuates transcriptions like questions marks, commas, etc. in a precise way with machine learning.
- Filter Wrong Content
Google Cloud Speech-to-Text has come up with an option to simply filter unsuitable content in the test results for certain languages.
- Model Selection
It provides you with four pre-built models to select, these are phone calls, default, video transcription or voice commands, and search.
- Real-time Streaming
It is a pre-recorded audio and audio input that is flown by an application’s microphone. It will also use to share from the pre-recorded audio file.
Final Words
Be ready for a wave of new, accurate computer voices to argue with and simply a boss around. If you have any more information related to Google Cloud Speech-to-Text update then, feel free to share with us.