Understanding Observed Changes in Atmospheric Solar Reflection and Surface Albedo
Exploring the attribution of changes in Earth's Albedo Shortwave Radiation (ASR) to various processes including atmospheric and surface contributions. The impacts of incident solar radiation, cloud reflection, absorption, and surface albedo are analyzed, along with the radiative sensitivity from iso
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Knowledge Distillation for Streaming ASR Encoder with Non-streaming Layer
The research introduces a novel knowledge distillation (KD) method for transitioning from non-streaming to streaming ASR encoders by incorporating auxiliary non-streaming layers and a special KD loss function. This approach enhances feature extraction, improves robustness to frame misalignment, and
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Caterpillar Cat CS-433E VIBRATORY COMPACTOR (Prefix ASR) Service Repair Manual Instant Download
Please open the website below to get the complete manual\n\n\/\/ \n
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Enhancing Spoken Language Understanding with Word Confusion Networks
Explore the integration of word confusion networks into large language models to improve spoken language understanding by addressing ASR errors and transcription ambiguities. The research focuses on leveraging ASR lattices for richer input representations and investigating the performance variations
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Understanding Automated Speech Recognition Technologies
Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy
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Training wav2vec on Multiple Languages From Scratch
Large amount of parallel speech-text data is not available in most languages, leading to the development of wav2vec for ASR systems. The training process involves self-supervised pretraining and low-resource finetuning. The model architecture includes a multi-layer convolutional feature encoder, qua
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Challenges and Advances in Multilingual and Code-Mixed ASR Systems
Recent advances in multilingual and code-mixed models for streaming end-to-end ASR systems present challenges including low resource Indic language data, multiple dialects, code-mixing, and noisy environments. These challenges impact ASR modeling by causing convergence issues, higher Word Error Rate
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OWSM-CTC: An Open Encoder-Only Speech Foundation Model
Explore OWSM-CTC, an innovative encoder-only model for diverse language speech-to-text tasks inspired by Whisper and OWSM. Learn about its non-autoregressive approach and implications for multilingual ASR, ST, and LID.
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