Gentle Forced Aligner Wrapper (v1.0)

About this version

About this app (See raw metadata.json)

This CLAMS app aligns transcript and audio track using Gentle. Gentle is a robust yet lenient forced aligner built on Kaldi.This app only works when Gentle is already installed locally.Unfortunately, Gentle is not distributed as a Python package distribution.To get Gentle installation instruction, see https://lowerquality.com/gentle/ Make sure install Gentle from the git commit specified in analyzer_version in this metadata.

Inputs

(Note: “*” as a property value means that the property is required but can be any value.)

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Configurable Parameters

(Note: Multivalued means the parameter can have one or more values.)

  • use_speech_segmentation: optional, defaults to true

    • Type: boolean
    • Multivalued: False
    • Choices: false, true

    When set true, use exising “speech”-typed TimeFrame annotations and run aligner only on those frames, instead of entire audio files.

  • use_tokenization: optional, defaults to true

    • Type: boolean
    • Multivalued: False
    • Choices: false, true

    When set true, Alignment annotation output will honor existing latest tokenization (Token annotations). Due to a limitation of the way Kaldi reads in English tokens, existing tokens must not contain whitespaces.

  • pretty: optional, defaults to false

    • Type: boolean
    • Multivalued: False
    • Choices: false, true

    The JSON body of the HTTP response will be re-formatted with 2-space indentation

Outputs

(Note: “*” as a property value means that the property is required but can be any value.)

(Note: Not all output annotations are always generated.)

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