<commit_before>---
layout: archive
title: "Projects"
permalink: /projects/
author_profile: true
redirect_from:
  - /projects
---

{% include base_path %}

[Download CV here](http://hoanirui.github.io/files/HUANG_Yirui_University_of_Edinburgh＿USA.pdf) 


Continuous Word Recognition
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* Performed an HMM-based speech recognition task on the TIMIT speech dataset using the Kaldi toolkit
* Wrote shell scripts to investigate the influences of acoustic features and dynamic features on word error rate



Image Captioning
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* Used the TensorFlow framework to perform an image captioning task on the MSCOCO dataset
* Constructed an encoder-decoder framework with a CNN encoder and an RNN decoder with GRU and LSTM
* Rewarded for third best project in Machine Learning Practical by IBM



Image Classification
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* Classified images of handwritten digits and letters from the MNIST and EMNIST datasets using deep neural networks
* Implemented models with different activation functions, weight initialisation strategies, and learning rules



Speaker Independent Digit Recognition<commit_msg>Update projects.md<commit_after>---
layout: archive
title: "Projects"
permalink: /projects/
author_profile: true
redirect_from:
  - /projects
---

{% include base_path %}


Continuous Word Recognition
------
* Performed an HMM-based speech recognition task on the TIMIT speech dataset using the Kaldi toolkit
* Wrote shell scripts to investigate the influences of acoustic features and dynamic features on word error rate



Image Captioning
------
* Used the TensorFlow framework to perform an image captioning task on the MSCOCO dataset
* Constructed an encoder-decoder framework with a CNN encoder and an RNN decoder with GRU and LSTM
* Rewarded for third best project in Machine Learning Practical by IBM



Image Classification
------
* Classified images of handwritten digits and letters from the MNIST and EMNIST datasets using deep neural networks
* Implemented models with different activation functions, weight initialisation strategies, and learning rules



Speaker Independent Digit Recognition
{'fraction_non_alphanumeric': 0.05695301376364499, 'fraction_numerical': 0.0, 'mean_word_length': 4.532808398950131, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3578676', 'n_tokens_mistral': 551, 'n_tokens_neox': 500, 'n_words': 255}