ImageRepositorySpeechRecognitionResult

AI Overview😉

  • The potential purpose of this module is to analyze audio content, such as podcasts or videos, and transcribe the spoken language into text. This allows Google to better understand the content of multimedia files and improve search results.
  • This module could impact search results by allowing Google to index and search audio content more effectively. This could lead to more accurate search results, especially for queries related to spoken content. It may also enable new features, such as searching for specific phrases or keywords within audio files.
  • A website may change things to be more favorable for this function by providing clear and high-quality audio content, with minimal background noise or interference. They may also consider adding transcripts or captions to their audio files, which could help Google's algorithm to better understand the content and improve search rankings. Additionally, using standardized language codes and formatting for audio files could also help the algorithm to more accurately identify and transcribe the spoken language.

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

A speech recognition result corresponding to a portion of the audio. This field is copied from cloud/speech/v1p1beta1/cloud_speech.proto. Amarna needs to have a standalone version as v1p1beta1/cloud_speech.proto is in the for of versioned proto and it breaks other prod code depending on Amarna's video schema.

Attributes

  • alternatives (type: list(GoogleApi.ContentWarehouse.V1.Model.ImageRepositorySpeechRecognitionAlternative.t), default: nil) - May contain one or more recognition hypotheses (up to the maximum specified in max_alternatives). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.
  • channelTag (type: integer(), default: nil) - For multi-channel audio, this is the channel number corresponding to the recognized result for the audio from that channel. For audio_channel_count = N, its output values can range from '1' to 'N'.
  • languageCode (type: String.t, default: nil) - The BCP-47 language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.
  • resultEndTime (type: String.t, default: nil) - Time offset of the end of this result relative to the beginning of the audio. This field is internal-only and is used to order results based on their timestamps.

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.ImageRepositorySpeechRecognitionResult{
    alternatives:
      [
        GoogleApi.ContentWarehouse.V1.Model.ImageRepositorySpeechRecognitionAlternative.t()
      ]
      | nil,
    channelTag: integer() | nil,
    languageCode: String.t() | nil,
    resultEndTime: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.