FIELD: natural speech processing.
SUBSTANCE: method includes: receiving an audio signal that is an audio representation of a user's speech fragment, which is a response to a computer-generated speech fragment previously issued by an electronic device to the user; obtaining a computer-generated text string that is a text representation of the computer-generated speech fragment; and generating, using a speech-to-text (STT) model, another text string being a textual representation of the user's speech fragment based on the audio signal and a computer-generated text string taken into account as the context of the user's speech fragment.
EFFECT: improves the quality of speech recognition and overall satisfaction of users using virtual assistant applications.
20 cl, 8 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD AND SYSTEM FOR CHECKING MEDIA CONTENT | 2022 |
|
RU2815896C2 |
METHOD AND SERVER FOR TEACHING A NEURAL NETWORK TO FORM A TEXT OUTPUT SEQUENCE | 2020 |
|
RU2798362C2 |
METHOD AND SYSTEM FOR TRAINING CHATBOT SYSTEM | 2023 |
|
RU2820264C1 |
METHOD AND SERVER FOR CONVERTING TEXT TO SPEECH | 2020 |
|
RU2775821C2 |
METHOD AND SERVER FOR TRAINING MACHINE LEARNING ALGORITHM IN TRANSLATION | 2020 |
|
RU2770569C2 |
METHOD AND SYSTEM FOR RECOGNIZING REPLAYED SPEECH FRAGMENT | 2020 |
|
RU2767962C2 |
METHOD AND SYSTEM FOR PROCESSING USER SPOKEN SPEECH FRAGMENT | 2019 |
|
RU2757264C2 |
METHOD AND SERVER FOR PERFORMING PROBLEM-ORIENTED TRANSLATION | 2021 |
|
RU2820953C2 |
METHOD AND SERVER FOR PERFORMING CONTEXT-SENSITIVE TRANSLATION | 2021 |
|
RU2812301C2 |
METHOD AND SYSTEM FOR GENERATING TEXT REPRESENTATION OF USER'S SPEECH FRAGMENT | 2019 |
|
RU2731334C1 |
Authors
Dates
2023-11-29—Published
2021-12-23—Filed