Google LLC (20240331700). On-Device Multilingual Speech Recognition simplified abstract
Contents
On-Device Multilingual Speech Recognition
Organization Name
Inventor(s)
Ignacio Lopez Moreno of Brooklyn NY (US)
On-Device Multilingual Speech Recognition - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331700 titled 'On-Device Multilingual Speech Recognition
- Simplified Explanation:
The patent application describes a method for language identification and speech recognition that involves predicting languages, switching between language packs, and generating transcriptions based on the identified languages.
- Key Features and Innovation:
- Receiving and processing input audio frames to determine predicted languages - Switching between language packs based on language switches in the input audio - Rewinding audio data to generate accurate transcriptions using the appropriate language pack
- Potential Applications:
- Multilingual speech recognition systems - Language switching in real-time transcription services - Language prediction for improved accuracy in speech recognition
- Problems Solved:
- Efficient language identification in multilingual environments - Seamless language switching for accurate transcriptions - Enhanced speech recognition performance through language prediction
- Benefits:
- Improved accuracy in transcribing multilingual audio - Seamless language switching for better user experience - Enhanced performance of speech recognition systems
- Commercial Applications:
Title: Multilingual Speech Recognition System Description: This technology can be utilized in transcription services, language learning apps, and multilingual customer service platforms to enhance communication and user experience.
- Questions about the Technology:
1. How does the method determine language switches in the input audio? 2. What are the potential challenges in implementing this technology in real-time applications?
- Frequently Updated Research:
There may be ongoing research in the field of multilingual speech recognition and language prediction algorithms that could further enhance the capabilities of this technology.
Original Abstract Submitted
a method includes receiving a sequence of input audio frames and processing each corresponding input audio frame to determine a language id event that indicates a predicted language. the method also includes obtaining speech recognition events each including a respective speech recognition result determined by a first language pack. based on determining that the utterance includes a language switch from the first language to a second language, the method also includes loading a second language pack onto the client device and rewinding the input audio data buffered by an audio buffer to a time of the corresponding input audio frame associated with the language id event that first indicated the second language as the predicted language. the method also includes emitting a first transcription and processing, using the second language pack loaded onto the client device, the rewound buffered audio data to generate a second transcription.
