Improving Speech Recognition Accuracy of Local POI Using Geographical Models

AWS re:Invent 2020: Enhance speech recognition accuracy using custom language modelsПодробнее

Video Abstract: Customizing Speech Recognition for Higher Accuracy TranscriptionsПодробнее

Google Webspeech API vs Speechly Speech Recognition AccuracyПодробнее

Auto Speech Recognition Tutorial, Tools Testing: OpenAI Whisper, Nvidia Conformer, SR, Deepgram, SpsПодробнее

Karen Livescu on Articulatory Modeling for Automatic Speech RecognitionПодробнее

High-Accuracy Neural-Network Models for Speech EnhancementПодробнее

Tech Showcase: Customizing Speech Recognition for Higher Accuracy TranscriptionsПодробнее

Improve speech recognition AI model: Adaptive Multi-Corpora Language Model Training (Meta-AI paper)Подробнее

Multilingual Speech Recognition Methods using Deep Learning and Cosine SimilarityПодробнее

Train your custom Speech Recognition Model with Hugging Face modelsПодробнее

Improving Speech Recognition Systems with liopa.aiПодробнее

CMU Multilingual NLP 2020 (14): Automatic Speech RecognitionПодробнее

ASRU 2021 - Multi-task Language Modeling for Improving Speech Recognition of Rare WordsПодробнее

Deep Generative and Discriminative Models for Speech Recognition - Dr. Li DengПодробнее

Automatic Speech Recognition in 4 Lines of Python code with HuggingFaceПодробнее

Conformer-2: A state-of-the-art speech recognition modelПодробнее

ICNLSP 2023: Improving Dhivehi Automatic Speech Recognition (ASR) with Sub-word Modelling ...Подробнее

New Audio Transcription Dataset Empowers Machine Learning Models to Improve Speech-to-Text AccuracyПодробнее

Automatic Speech RecognitionПодробнее