Package software.amazon.awssdk.services.transcribe.model

Class CreateLanguageModelRequest

    • Method Detail

      • languageCode

        public final CLMLanguageCode languageCode()

        The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

        For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

        A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

        If the service returns an enum value that is not available in the current SDK version, languageCode will return CLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from languageCodeAsString().

        Returns:
        The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

        For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

        A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

        See Also:
        CLMLanguageCode

      • languageCodeAsString

        public final String languageCodeAsString()

        The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

        For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

        A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

        If the service returns an enum value that is not available in the current SDK version, languageCode will return CLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from languageCodeAsString().

        Returns:
        The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

        For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

        A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

        See Also:
        CLMLanguageCode

      • baseModelName

        public final BaseModelName baseModelName()

        The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

        If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

        If the service returns an enum value that is not available in the current SDK version, baseModelName will return BaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from baseModelNameAsString().

        Returns:
        The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

        If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

        See Also:
        BaseModelName

      • baseModelNameAsString

        public final String baseModelNameAsString()

        The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

        If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

        If the service returns an enum value that is not available in the current SDK version, baseModelName will return BaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from baseModelNameAsString().

        Returns:
        The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

        If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

        See Also:
        BaseModelName

      • modelName

        public final String modelName()

        A unique name, chosen by you, for your custom language model.

        This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.

        Returns:
        A unique name, chosen by you, for your custom language model.

        This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.

      • inputDataConfig

        public final InputDataConfig inputDataConfig()

        Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

        When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

        Returns:
        Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

        When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

      • hasTags

        public final boolean hasTags()
        For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.

      • tags

        public final List<Tag> tags()

        Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model.

        To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

        Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

        This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTags() method.

        Returns:
        Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model.

        To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object