Spoken Language Identification (v0.4)

About this version

• Submitter: keighrim
• Submission Time: 2026-07-12T22:39:02+00:00
• Prebuilt Container Image: ghcr.io/clamsproject/app-spoken-lid:v0.4📋

• Release Notes

  updated to the latest SDK

About this app (See raw metadata.json)

Chunk-level language ID over audio based on OpenAI Whisper

• App ID: http://apps.clams.ai/spoken-lid/v0.4
• App License: Apache 2.0
• Source Repository: https://github.com/clamsproject/app-spoken-lid (source tree of the submitted version📋)
• Analyzer Version: v20250625
• Analyzer License: MIT

Inputs

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

One of the following is required: [

• http://clams.ai/vocabulary/type/AudioDocument/v2 (required) (of any properties)

• http://clams.ai/vocabulary/type/VideoDocument/v2 (required) (of any properties)

]

Configurable Parameters

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

• model: optional, defaults to tiny

  • Type: string
  • Multivalued: False
  • Choices: tiny, base, small, medium, large, turbo

  Whisper model size

• chunk: optional, defaults to 30

  • Type: number
  • Multivalued: False

  chunk/window length in seconds

• top: optional, defaults to 3

  • Type: integer
  • Multivalued: False

  top-k language scores

• batchSize: optional, defaults to 1

  • Type: integer
  • Multivalued: False

  number of windows processed in a batch

• 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

• runningTime: optional, defaults to true

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

  The running time of the app will be recorded in the view metadata

• hwFetch: optional, defaults to false

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

  The hardware information (architecture, GPU and vRAM) will be recorded in the view metadata

• tfSamplingMode: optional, defaults to representatives

  • Type: string
  • Multivalued: False
  • Choices: representatives, single, all

  Sampling mode for TimeFrame annotations. Has no effect when the app does not process TimeFrames. “representatives” uses all representative timepoints if present, otherwise skips the TimeFrame. “single” uses the middle representative if present, otherwise extracts an image from the midpoint of the start/end interval (midpoint is calculated by floor division of the sum of start and end). “all” uses all target timepoints if present, otherwise extracts all images from the time interval.

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.)

• http://clams.ai/vocabulary/type/TimeFrame/v6
  • timeUnit = “seconds”
  • labalSet = “https://raw.githubusercontent.com/openai/whisper/refs/tags/v20250625/whisper/tokenizer.py”