FireRed Spoken LID (v0.1)

About this version

• Submitter: keighrim
• Submission Time: 2026-11-10T02:59:58+00:00
• Prebuilt Container Image: ghcr.io/clamsproject/app-firered-spoken-lid:v0.1📋

• Release Notes

  (no notes provided by the developer)

About this app (See raw metadata.json)

Spoken language identification over fixed-length windows of an audio track, using FireRedLID, the language identification model of FireRedASR2S. Consecutive windows with the same language can be merged into one TimeFrame.

• App ID: http://apps.clams.ai/firered-spoken-lid/v0.1
• App License: Apache 2.0
• Source Repository: https://github.com/clamsproject/app-firered-spoken-lid (source tree of the submitted version📋)
• Analyzer License: Apache 2.0

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.)

• windowMs: optional, defaults to 10000

  • Type: integer
  • Multivalued: False

  Window length in milliseconds.

• minLastWindowMs: optional, defaults to 0

  • Type: integer
  • Multivalued: False

  Shortest final window to keep, in milliseconds. 0 keeps any final window.

• tfMerge: optional, defaults to true

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

  Join consecutive windows with the same label into one TimeFrame. When false, each window becomes its own TimeFrame, with one score.

• batchSize: optional, defaults to 1

  • Type: integer
  • Multivalued: False

  Number of windows passed to the model at once.

• 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 = “milliseconds”
  • document = “*”
  • labelset = “*”
  • label = “*”
  • scores = “*”

  Each TimeFrame covers consecutive windows that FireRedLID labels with the language label, or other. Language labels are canonicalized to BCP 47 tags; see README.md in the app repository for details. labelset lists all labels of the model. scores lists, in time order, the FireRedLID confidence of label in each of those windows, one float in [0, 1] per window. Window i starts at start + i * windowMs; the last window ends at end and can be shorter. The confidences are not calibrated.