Publications related to Markov information source

Ali H. Sayed, Mert Kayaalp, Stefan Vlaski, Virginia Bordignon

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks. We show that the difference fro ...

IEEE2022

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Nikolaos Geroliminis, Burak Boyaci, Mor Kaspi, Martin Jean Marie Joseph Repoux

In this paper, we study the operations of a one-way station-based carsharing system implementing a complete journey reservation policy. We consider the percentage of served demand as a primary performance measure and analyze the effect of several dynamic s ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Ramya Rasipuram, Marzieh Razavi

Developing a phonetic lexicon for a language requires linguistic knowledge as well as human effort, which may not be available, particularly for under-resourced languages. An alternative to development of a phonetic lexicon is to automatically derive subwo ...

Idiap2017

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Aude Billard, José Ramon Medina Hernandez

The problem of acquiring multiple tasks from demonstration is typi- cally divided in two sequential processes: (1) the segmentation or identification of different subgoals/subtasks and (2) a separate learning process that parameterizes a control policy for ...

robot-learning2017

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Hervé Bourlard, Philip Neil Garner, Sibo Tong

Different training and adaptation techniques for multilingual Automatic Speech Recognition (ASR) are explored in the context of hybrid systems, exploiting Deep Neural Networks (DNN) and Hidden Markov Models (HMM). In multilingual DNN training, the hidden l ...

2017

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

We propose to model the acoustic space of deep neural network (DNN) class-conditional posterior probabilities as a union of lowdimensional subspaces. To that end, the training posteriors are used for dictionary learning and sparse coding. Sparse representa ...

ICASSP2016

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

Objective assessment of synthetic speech intelligibility can be a useful tool for the development of text-to-speech (TTS) systems, as it provides a reproducible and inexpensive alternative to subjective listening tests. In a recent work, it was shown that ...

Idiap2015

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

2015

HMM-Based Error Correction Mechanism for Five-Key Chording Keyboards

Pierre Dillenbourg, Bixio Rimoldi, Adrian Dan Tarniceriu

As different text input devices lead to different typing error patterns, considering the device characteristics when designing an error correction mechanism can lead to significantly improved results. In this paper, we propose and evaluate a spelling corre ...

2015

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Markov information source

Hidden Markov Modeling Over Graphs

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Noether's theorem for dissipative quantum dynamical semi-groups

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

HMM-Based Error Correction Mechanism for Five-Key Chording Keyboards

Graph Chatbot

Chat with Graph Search

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hidden Markov Modeling Over Graphs

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Noether's theorem for dissipative quantum dynamical semi-groups

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

HMM-Based Error Correction Mechanism for Five-Key Chording Keyboards