Reference documentation and code samples for the Cloud Speech-to-Text V1p1beta1 API class Google::Cloud::Speech::V1p1beta1::SpeechContext.
Provides "hints" to the speech recognizer to favor specific words and phrases in the results.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#boost
def boost() -> ::Float
-
(::Float) — Hint Boost. 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.
#boost=
def boost=(value) -> ::Float
-
value (::Float) — Hint Boost. 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.
-
(::Float) — Hint Boost. 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.
#phrases
def phrases() -> ::Array<::String>
-
(::Array<::String>) — A list of strings containing words and phrases "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. See
usage limits.
List items can also be set to classes for groups of words that represent common concepts that occur in natural language. For example, rather than providing phrase hints for every month of the year, using the $MONTH class improves the likelihood of correctly transcribing audio that includes months.
#phrases=
def phrases=(value) -> ::Array<::String>
-
value (::Array<::String>) — A list of strings containing words and phrases "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. See
usage limits.
List items can also be set to classes for groups of words that represent common concepts that occur in natural language. For example, rather than providing phrase hints for every month of the year, using the $MONTH class improves the likelihood of correctly transcribing audio that includes months.
-
(::Array<::String>) — A list of strings containing words and phrases "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. See
usage limits.
List items can also be set to classes for groups of words that represent common concepts that occur in natural language. For example, rather than providing phrase hints for every month of the year, using the $MONTH class improves the likelihood of correctly transcribing audio that includes months.