A Phrase contains words and phrase "hints" so that the speech recognition
is more likely to recognize them. This can be used to improve the accuracy
for specific words and phrases, for example, if specific commands are
typically spoken by the user. This can also be used to add additional words
to the vocabulary of the recognizer.
List items can also include CustomClass references containing groups of
words that represent common concepts that occur in natural language.
Protobuf type google.cloud.speech.v2.PhraseSet.Phrase
Hint Boost. Overrides the boost set at the phrase set level.
Positive value will increase the probability that a specific phrase will
be recognized over other similar sounding phrases. The higher the boost,
the higher the chance of false positive recognition as well. Negative
boost values would correspond to anti-biasing. Anti-biasing is not
enabled, so negative boost will simply be ignored. Though boost can
accept a wide range of positive values, most use cases are best served
with values between 0 and 20. We recommend using a binary search approach
to finding the optimal value for your use case. Speech recognition
will skip PhraseSets with a boost value of 0.
Hint Boost. Overrides the boost set at the phrase set level.
Positive value will increase the probability that a specific phrase will
be recognized over other similar sounding phrases. The higher the boost,
the higher the chance of false positive recognition as well. Negative
boost values would correspond to anti-biasing. Anti-biasing is not
enabled, so negative boost will simply be ignored. Though boost can
accept a wide range of positive values, most use cases are best served
with values between 0 and 20. We recommend using a binary search approach
to finding the optimal value for your use case. Speech recognition
will skip PhraseSets with a boost value of 0.
Hint Boost. Overrides the boost set at the phrase set level.
Positive value will increase the probability that a specific phrase will
be recognized over other similar sounding phrases. The higher the boost,
the higher the chance of false positive recognition as well. Negative
boost values would correspond to anti-biasing. Anti-biasing is not
enabled, so negative boost will simply be ignored. Though boost can
accept a wide range of positive values, most use cases are best served
with values between 0 and 20. We recommend using a binary search approach
to finding the optimal value for your use case. Speech recognition
will skip PhraseSets with a boost value of 0.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-28 UTC."],[],[]]
