Google Releases New Cloud Speech to Text Using Machine Learning Technology
Last month, Google introduced a new technology that makes easier for business to add natural sounding speech ability to their application & services. The name of this service is Cloud Speech-to-Text. And today, we are going to discuss this newly released technology Google Cloud Speech-to-Text.
More Information about Google Cloud Speech to Text
Google has recently announced the largest service of Cloud Speech-to-Text, which is formerly known as Cloud Speech API since it was introduced two years ago. First, the Cloud Speech API is discovered in 2016. Now, it is available for developers to convert audio to text by applying powerful neural network models in API. This API is able to recognize the 120 languages & variants to support your global user base. You can also enable the voice command and control, transcribe audio from call centers, and many more. Cloud Speech-to-Text can process real-time streaming or pre-recorded audio, using Google’s machine learning technology.
New Google Cloud Speech-to-Text Engine now Supports
According to Google, the new and updated Cloud Speech to Text engine now supports:
1. A selection of pre-built models for better transcription accuracy from phone calls & videos.
2. Automatic punctuation, to improve readability of transcribed long-form audio.
3. A new mechanism to tag & group your transcription workloads, and gives feedback to the Google team.
4. A standard service level agreement i.e SLA with a loyalty to 99.9% availability.
Features of Google Cloud Speech-to-Text
- Global Vocabulary
The neural network API of Cloud Speech to Text recognizes 120 languages & variants with an extensive vocabulary.
- Speech Recognition Automatically
Automatic Speech Recognition is powered by deep learning neural network to power the applications such as voice search, speech transcription, etc.
- Word Suggestion
Speech recognition can be customized to a specific text by providing a set of words & phrases that are likely to be spoken. Especially, it is useful for adding custom words & names to the vocabulary. - Noise Robustness
It can handle noisy audio from many different environments without requiring additional noise cancellation. - Automatic Punctuation
It is able to provide punctuates transcriptions such as commas, questions marks, and periods in an accurate manner with machine learning.
- Option to Filter Wrong Content
Google Cloud Speech to Text has an option to filter inappropriate content in text results for some languages. - Model Selection
Model selection feature offers you four pre-built models to choose, these are: default, phone calls, video transcription and voice commands & search.
- Real-time Streaming
Real-time streaming means that it supports pre-recorded audio and audio input can be streamed by an application’s microphone or sent from a pre-recorded audio file. Multiple audio encodings are supported, including FLAC, AMR, PCMU & Linear-16.
New Video & Phone Call Transcription Models
There are many different ways to use speech recognition service like everything from the human-computer interaction. For example, voice commands or IVRs to speech analytics. Moreover, in the Google Cloud Speech to Text version, we have added models that are tailored for specific use cases. Most of the major cloud providers use speech data from incoming requests to improve their products and services.
Summing Up
It has been full speed ahead for our Cloud AI speech products as of late. As Cloud Speech-to-Text was introduced two years ago but last month, Google releases new Cloud Speech to Text with some advanced features which are discussed in this blog.