Search Results for author:
Found 15 papers, 3 papers with code
Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens
Cascaded speech-to-speech translation systems often suffer from the error accumulation problem and high latency, which is a result of cascaded modules whose inference delays accumulate.
Evaluating probabilistic and data-driven inference models for fiber-coupled NV-diamond temperature sensors
We achieve prediction uncertainty of $\pm$ 1 K across a temperature range of 243 K to 323 K. To benchmark our probabilistic model, we compare it with a non-parametric peak-finding technique and data-driven methodologies such as Principal Component Regression (PCR) and a 1D Convolutional Neural Network (CNN).
Recovering from Privacy-Preserving Masking with Large Language Models
To effectively perform adaptation, textual data of users is typically stored on servers or their local devices, where downstream natural language processing (NLP) models can be directly trained using such in-domain data.
Contextual Biasing of Named-Entities with Large Language Models
We propose to leverage prompts for a LLM without fine tuning during rescoring which incorporate a biasing list and few-shot examples to serve as additional information when calculating the score for the hypothesis.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Nostradamus: Weathering Worth
We have conducted our study based on the US financial market, global climate trends, and daily weather records to demonstrate a significant relationship between climate and stock price fluctuation.
CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals
Training the model initially with proxy context retains 67% of the perplexity gain after adapting to real context.
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
In this work, we aim to enhance the system robustness of end-to-end automatic speech recognition (ASR) against adversarially-noisy speech examples.
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
Our results demonstrate that multiple purpose-built neural networks can function in sequence to accomplish the complex series of tasks required for automated analysis of real-world angiograms.
Classifying CELESTE as NP Complete
We analyze the computational complexity of the video game "CELESTE" and prove that solving a generalized level in it is NP-Complete.
Protein Folding
Computational Complexity
The Simons Observatory: Magnetic Sensitivity Measurements of Microwave SQUID Multiplexers
The Simons Observatory (SO) will be a cosmic microwave background (CMB) survey experiment with three small-aperture telescopes and one large-aperture telescope, which will observe from the Atacama Desert in Chile.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
Machine Learning at Microsoft with ML .NET
Machine Learning is transitioning from an art and science into a technology available to every developer.
The Simons Observatory: Science goals and forecasts
With up to an order of magnitude lower polarization noise than maps from the Planck satellite, the high-resolution sky maps will constrain cosmological parameters derived from the damping tail, gravitational lensing of the microwave background, the primordial bispectrum, and the thermal and kinematic Sunyaev-Zel'dovich effects, and will aid in delensing the large-angle polarization signal to measure the tensor-to-scalar ratio.
Cosmology and Nongalactic Astrophysics
Image-based Face Detection and Recognition: "State of the Art"
The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy, better response rate as an initial step for video surveillance.
Rapidly Testing the Interaction Model of a Pronunciation Training System via Wizard-of-Oz
An experiment was conducted in this work that combines the MySpeech service with the WebWOZ Wizard-of-Oz platform (http://www. webwoz. com), in order to improve the human-computer interaction (HCI) of the service and the feedback that it provides to the user.
