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NvidiaGranted patentAI & softwareInterest 4/10

Nvidia patents speech recognition method that skips silent audio frames

Nvidia describes a method for training speech recognition software to ignore specific parts of audio input without penalizing the model's accuracy. The system uses a mathematical framework to skip frames that contain no useful speech, simplifying the training process and making the code easier to debug.

Why it mattersThis improves the efficiency of how computers learn to understand spoken language, potentially leading to more accurate voice assistants and transcription tools.

In the filing’s own words

Systems and methods provide for a machine learning system to train a machine learning model to output a penalty-free emission when processing an auditory input. For example, as the system generates paths through a probability lattice, one or more paths may include a penalty-free emission that skips at least one frame associated with the probability lattice, but that does not add a cost to a final path cost. The use of the penalty-free emissions may be represented through one or more graphical representations used for training in order to develop loss functions for models. One or more of these frameworks may be incorporated into automatic speech recognition pipelines to improve training while also reducing coding requirements to simplify debugging operations.

What exactly they claim (claim 1)

1. A processor comprising: one or more circuits configured to perform, using a neural network (NN), one or more automatic speech recognition (ASR) operations with respect to a sequence of audio frames, the operations using at least a three-dimensional (3D) tensor converted from a four-dimensional (4D) tensor by combination of an audio dimension and a text dimension, the one or more circuits configured to, responsive to an output of the NN indicating an emulated blank for at least one audio frame of the sequence of audio frames, omit at least one audio frame from processing without affecting a loss score.

Facts

Company
Nvidia (Nvidia Corporation)
Official title
Weighted finite state transducer frameworks for conversational AI systems and applications
Patent number
US12731577B2
Application number
18355646
Filed
Jul 20, 2023
Granted
Sep 8, 2026
Inventors
4
Claims
20

Classified under

G10L 15/16 Physics & computingG10L 15/063 Physics & computingG10L 15/22 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.