Google improves voice command features for apps

Voice commands are gaining wide popularity; Because it’s an easy and intuitive way to get answers, ask smart devices to perform a task.

However, this technology is still in the process of development, and to enhance it a bit, the AI team at Google has built a new, compact system called VoiceFilter Lite.

In 2018, the team unveiled the company’s first VoiceFilter system to use the company’s voice-matching technology.

It is used in the Google Voice Assistant to analyze your speech and voice.

Google has a lot of applications within your phone that use voice recognition technology, such as: Google Assistant, Google Translate, and Voice Recording Application.

These apps face the challenges of separating your voice from other people, or separating out background noise.

VoiceFilter has been touted to excel in achieving a better source-to-distortion ratio (SDR), which helps it recognize sounds more efficiently than conventional methods.

More efficient voice recognition and better source-to-distortion ratio SDR requires a large system, while consuming battery and CPU power.

Google believed that the system would be faster and better if it worked within the device, even in offline mode.

VoiceFilter has been touted to excel in achieving a better source-to-distortion ratio (SDR), which helps it recognize sounds more efficiently than conventional methods.

More efficient voice recognition and better source-to-distortion ratio SDR requires a large system, while consuming battery and CPU power.

Google believed that the system would be faster and better if it worked within the device, even in offline mode.

The VoiceFilter Lite – only 2.2MB in size – is intended for in-device use to significantly improve speech recognition in cross-talk.

The system is compatible with a large number of mobile applications by recognizing the recorded voice of a specific speaker.

The new system must be able to recognize the user’s voice in very noisy conditions, as well as when an Internet connection is not available.

According to Google, the system was able to provide a 25.1 percent improvement in the word error rate (WER) – a ratio of how many words the system can recognize from a reference statement – relative to overlapping speech.

And apps can get much better at capturing voice commands with the new VoiceFilter-Lite model.

It should also help the system process queries faster, given that it works without an internet connection.

VoiceFilter-Lite provides promising results, but it currently only works with English, and Google is working on adopting the system with other languages ​​as well.

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