readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  license: cc-by-4.0
  ---
  
  
  
  
  
  
  # Model Card for Indian English ASR
  
  <!-- Provide a quick summary of what the model is/does. [Optional] -->
  ASR model built by Speech Lab, IIT Madras
  
  
  
  
  #  Table of Contents
  
  - [Model Card for Indian English ASR](#model-card-for--model_id-)
  - [Table of Contents](#table-of-contents)
  - [Table of Contents](#table-of-contents-1)
  - [Model Details](#model-details)
    - [Model Description](#model-description)
  - [Uses](#uses)
    - [Direct Use](#direct-use)
    - [Downstream Use [Optional]](#downstream-use-optional)
    - [Out-of-Scope Use](#out-of-scope-use)
  - [Bias, Risks, and Limitations](#bias-risks-and-limitations)
    - [Recommendations](#recommendations)
  - [Training Details](#training-details)
    - [Training Data](#training-data)
    - [Training Procedure](#training-procedure)
      - [Preprocessing](#preprocessing)
      - [Speeds, Sizes, Times](#speeds-sizes-times)
  - [Evaluation](#evaluation)
    - [Testing Data, Factors & Metrics](#testing-data-factors--metrics)
      - [Testing Data](#testing-data)
      - [Factors](#factors)
      - [Metrics](#metrics)
    - [Results](#results)
  - [Model Examination](#model-examination)
  - [Environmental Impact](#environmental-impact)
  - [Technical Specifications [optional]](#technical-specifications-optional)
    - [Model Architecture and Objective](#model-architecture-and-objective)
    - [Compute Infrastructure](#compute-infrastructure)
      - [Hardware](#hardware)
      - [Software](#software)
  - [Citation](#citation)
  - [Glossary [optional]](#glossary-optional)
  - [More Information [optional]](#more-information-optional)
  - [Model Card Authors [optional]](#model-card-authors-optional)
  - [Model Card Contact](#model-card-contact)
  - [How to Get Started with the Model](#how-to-get-started-with-the-model)
  
  
  # Model Details
  
  ## Model Description
  
  <!-- Provide a longer summary of what this model is/does. -->
  ASR model built by Speech Lab, IIT Madras
  
  - **Developed by:** More information needed
  - **Shared by [Optional]:** More information needed
  - **Model type:** Language model
  - **Language(s) (NLP):** en
  - **License:** apache-2.0
  - **Parent Model:** More information needed
  - **Resources for more information:** More information needed
  
  
  
  # Uses
  
  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
  
  ## Direct Use
  
  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
  <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
  
  
  
  
  ## Downstream Use [Optional]
  
  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
  <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
   
  
  
  
  ## Out-of-Scope Use
  
  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
  <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
  
  
  
  
  # Bias, Risks, and Limitations
  
  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
  
  Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
  
  
  ## Recommendations
  
  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
  
  
  
  
  
  # Training Details
  
  ## Training Data
  
  <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
  
  More information on training data needed
  
  
  ## Training Procedure
  
  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
  
  ### Preprocessing
  
  More information needed
  
  ### Speeds, Sizes, Times
  
  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
  
  More information needed
   
  # Evaluation
  
  <!-- This section describes the evaluation protocols and provides the results. -->
  
  ## Testing Data, Factors & Metrics
  
  ### Testing Data
  
  <!-- This should link to a Data Card if possible. -->
  
  More information needed
  
  
  ### Factors
  
  <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
  
  More information needed
  
  ### Metrics
  
  <!-- These a