aws_sdk_transcribe::types::builders

Struct CallAnalyticsJobSettingsBuilder

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#[non_exhaustive]
pub struct CallAnalyticsJobSettingsBuilder { /* private fields */ }
Expand description

A builder for CallAnalyticsJobSettings.

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impl CallAnalyticsJobSettingsBuilder

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pub fn vocabulary_name(self, input: impl Into<String>) -> Self

The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.

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pub fn set_vocabulary_name(self, input: Option<String>) -> Self

The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.

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pub fn get_vocabulary_name(&self) -> &Option<String>

The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.

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pub fn vocabulary_filter_name(self, input: impl Into<String>) -> Self

The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

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pub fn set_vocabulary_filter_name(self, input: Option<String>) -> Self

The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

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pub fn get_vocabulary_filter_name(&self) -> &Option<String>

The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

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pub fn vocabulary_filter_method(self, input: VocabularyFilterMethod) -> Self

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

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pub fn set_vocabulary_filter_method( self, input: Option<VocabularyFilterMethod>, ) -> Self

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

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pub fn get_vocabulary_filter_method(&self) -> &Option<VocabularyFilterMethod>

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

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pub fn language_model_name(self, input: impl Into<String>) -> Self

The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

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pub fn set_language_model_name(self, input: Option<String>) -> Self

The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

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pub fn get_language_model_name(&self) -> &Option<String>

The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

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pub fn content_redaction(self, input: ContentRedaction) -> Self

Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use ContentRedaction, you must also include the sub-parameters: RedactionOutput and RedactionType. You can optionally include PiiEntityTypes to choose which types of PII you want to redact.

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pub fn set_content_redaction(self, input: Option<ContentRedaction>) -> Self

Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use ContentRedaction, you must also include the sub-parameters: RedactionOutput and RedactionType. You can optionally include PiiEntityTypes to choose which types of PII you want to redact.

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pub fn get_content_redaction(&self) -> &Option<ContentRedaction>

Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use ContentRedaction, you must also include the sub-parameters: RedactionOutput and RedactionType. You can optionally include PiiEntityTypes to choose which types of PII you want to redact.

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pub fn language_options(self, input: LanguageCode) -> Self

Appends an item to language_options.

To override the contents of this collection use set_language_options.

You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

Including language options can improve the accuracy of language identification.

For a list of languages supported with Call Analytics, refer to the Supported languages table.

To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.

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pub fn set_language_options(self, input: Option<Vec<LanguageCode>>) -> Self

You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

Including language options can improve the accuracy of language identification.

For a list of languages supported with Call Analytics, refer to the Supported languages table.

To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.

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pub fn get_language_options(&self) -> &Option<Vec<LanguageCode>>

You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

Including language options can improve the accuracy of language identification.

For a list of languages supported with Call Analytics, refer to the Supported languages table.

To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.

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pub fn language_id_settings( self, k: LanguageCode, v: LanguageIdSettings, ) -> Self

Adds a key-value pair to language_id_settings.

To override the contents of this collection use set_language_id_settings.

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName).

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName, VocabularyName, or VocabularyFilterName sub-parameters.

For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.

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pub fn set_language_id_settings( self, input: Option<HashMap<LanguageCode, LanguageIdSettings>>, ) -> Self

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName).

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName, VocabularyName, or VocabularyFilterName sub-parameters.

For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.

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pub fn get_language_id_settings( &self, ) -> &Option<HashMap<LanguageCode, LanguageIdSettings>>

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName).

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName, VocabularyName, or VocabularyFilterName sub-parameters.

For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.

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pub fn summarization(self, input: Summarization) -> Self

Contains GenerateAbstractiveSummary, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.

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pub fn set_summarization(self, input: Option<Summarization>) -> Self

Contains GenerateAbstractiveSummary, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.

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pub fn get_summarization(&self) -> &Option<Summarization>

Contains GenerateAbstractiveSummary, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.

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pub fn build(self) -> CallAnalyticsJobSettings

Consumes the builder and constructs a CallAnalyticsJobSettings.

Trait Implementations§

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impl Clone for CallAnalyticsJobSettingsBuilder

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fn clone(&self) -> CallAnalyticsJobSettingsBuilder

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CallAnalyticsJobSettingsBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for CallAnalyticsJobSettingsBuilder

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fn default() -> CallAnalyticsJobSettingsBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for CallAnalyticsJobSettingsBuilder

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fn eq(&self, other: &CallAnalyticsJobSettingsBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for CallAnalyticsJobSettingsBuilder

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where S: Into<Dispatch>,

Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more
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fn with_current_subscriber(self) -> WithDispatch<Self>

Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more
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impl<T> ErasedDestructor for T
where T: 'static,