Update README.md

README.md

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 - speaker-identification
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-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Code: https://huggingface.co/asadullah797/ssl-semi-multitask
-- Paper: [More Information Needed]
-- Docs: https://github.com/asadullah797/ssl_semi-multitask/blob/main/README.md
+Multitask Speech Model with Wav2Vec2
+
+This repository contains a multitask learning pipeline built on top of Wav2Vec2
+, designed to jointly perform:
+
+Automatic Speech Recognition (ASR) (character-level CTC loss)
+
+Speaker Identification
+
+Emotion Recognition
+
+The system is trained on a combination of training dataset with parallel data from speech transcriptions, speaker identification and emotion recognition labels.
+
+📌 Features
+
+Multitask model (Wav2Vec2MultiTasks) with shared Wav2Vec2 encoder and separate heads for:
+
+Speech Recognition (CTC)
+
+Speaker classification
+
+Emotion classification
+
+Custom data preprocessing:
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+Cleans transcripts (removes punctuation & special characters)
+
+Converts numbers into words
+
+Builds a vocabulary and tokenizer
+
+Filters short/invalid audio
+
+Training, validation, and test splits with collators for CTC.
+
+Evaluation metrics:
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+Character Error Rate (CER) for character recognition
+
+Accuracy for speaker and emotion classification