ImageRepositoryS3LangIdSignals

AI Overview😉

  • The potential purpose of this module is to analyze audio chunks within videos to identify the language spoken and detect the presence of speech. This helps Google to better understand the content of videos and provide more accurate search results.
  • This module could impact search results by allowing Google to filter or rank videos based on the language spoken, relevance to the search query, and presence of speech. For example, if a user searches for a specific language or topic, Google can use this module to prioritize videos that match those criteria. Additionally, videos with clear speech and relevant language may be ranked higher than those with background noise or unrelated language.
  • A website may change things to be more favorable for this function by ensuring that their videos have clear and concise audio, using relevant keywords and descriptions in their video metadata, and providing transcripts or subtitles for their videos. This can help Google's algorithm to better understand the content of the video and increase its visibility in search results. Additionally, websites can use schema markup to provide additional context about their videos, such as language and content type, which can also improve their search engine ranking.

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GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryS3LangIdSignals (google_api_content_warehouse v0.4.0)

Next Tag: 10

Attributes

  • containsSpeech (type: boolean(), default: nil) - Whether this audio chunk has speech or not.
  • debuggingInfo (type: GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryS3LangIdDebuggingInfo.t, default: nil) -
  • endSec (type: String.t, default: nil) -
  • langidResult (type: GoogleApi.ContentWarehouse.V1.Model.SpeechS3LanguageIdentificationResult.t, default: nil) - S3 langID result. We keep langid_result even if contains_speech = false.
  • languageIdentification (type: GoogleApi.ContentWarehouse.V1.Model.VideoTimedtextS4ALIResults.t, default: nil) - Converted version of the langid_result field, so that we have the YT compatible version of the langID result.
  • modelVersion (type: String.t, default: nil) - The version of the model used for S3 LangID service.
  • speechFrameCount (type: integer(), default: nil) -
  • startSec (type: String.t, default: nil) - The audio chunk which corresponds to this langID result expressed as a start_sec and end_sec.
  • totalFrameCount (type: integer(), default: nil) - Count the number of total frames in the audio chunk as well as the number of speech frames.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryS3LangIdSignals{
  containsSpeech: boolean() | nil,
  debuggingInfo:
    GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryS3LangIdDebuggingInfo.t()
    | nil,
  endSec: String.t() | nil,
  langidResult:
    GoogleApi.ContentWarehouse.V1.Model.SpeechS3LanguageIdentificationResult.t()
    | nil,
  languageIdentification:
    GoogleApi.ContentWarehouse.V1.Model.VideoTimedtextS4ALIResults.t() | nil,
  modelVersion: String.t() | nil,
  speechFrameCount: integer() | nil,
  startSec: String.t() | nil,
  totalFrameCount: integer() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.