Model Card for Model ID

The model is intended to speaker identification for audio segments taken from the Mandarin Monkey podcast. It was created based the speakerbox code. https://councildataproject.org/speakerbox/

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: jdalegonzalez
  • Funded by [optional]: None. sigh
  • Model type: Wave2Vec audio classifier
  • Language(s) (NLP): English and Chinese
  • License: Meh?
  • Finetuned from model: superb/wav2vec2-base-superb-sid

Uses

Right now, the only thing the model will do is identify which speaker (between the two hosts of Mandarin Monkey) is likely speaking a specific audio clip. In the future, it could be expanded to support more speakers, more podcasts, etc...

Direct Use

I'm not sure what direct use is possible other than diarizing a Mandarin Monkey podcast.

[More Information Needed]

Out-of-Scope Use

Really, almost any use other than identifying which host is speaking a particular audio clip is out-of-scope.

[More Information Needed]

Bias, Risks, and Limitations

There is no warranty expressed or implied. It works for me. It may do nothing for you. This is experimental and shouldn't be the basis for any commericial activity.

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Downloads last month
6
Safetensors
Model size
94.6M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for jdalegonzalez/transcribe-monkey

Finetuned
(1)
this model