Add to ORKGThis article analyzes vector representation of phonemes as an alternative to improve a language identification system (LID). CBOW (Continuous Bag-of-Words) and Skip-gram architectures proposed by Mikolov are studied. These models allow predicting words within a context by generating n-dimensional vectors. In this work we will analyze the application of these models in smaller phonetic units or n-grams.  
Continuous vector representations, as a distributed representations for words have gained a lot of a...
Word vectors, embeddings of words into a low-dimensional space, have been shown to be useful for a l...
Projet DIALOGUEThe coorelation between vectors in a sequence of analysis frames are supposed to be s...
This article analyzes vector representation of phonemes as an alternative to improve a language iden...
This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based o...
Este artículo describe una nueva técnica que permite combinar la información de dos sistemas fonotác...
Over the last few years, i-vectors have been the state-of-the-art technique in speaker and language ...
Word vector representation is widely used in natural language processing tasks. Most word vectors ar...
Els Models Dynamics Lineals (LDM) han demostrat ser capaços de modelar la parla i aconseguir bons re...
This thesis has taken a closer look at the implementation of the back-end of a language recognition ...
There is a representation problem when working with natural language processing because once the tra...
Dentro del reconocimiento automático del habla, los modelos de lenguaje estadísticos basados en la p...
Artificial neural networks have become the state-of-the-art in the task of language modelling wherea...
Word representations are important for many Natural Language Processing (NLP) tasks. Obtaining good...
In this paper we present our results on using RNN-based LM scores trained on different phone-gram or...
Continuous vector representations, as a distributed representations for words have gained a lot of a...
Word vectors, embeddings of words into a low-dimensional space, have been shown to be useful for a l...
Projet DIALOGUEThe coorelation between vectors in a sequence of analysis frames are supposed to be s...
This article analyzes vector representation of phonemes as an alternative to improve a language iden...
This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based o...
Este artículo describe una nueva técnica que permite combinar la información de dos sistemas fonotác...
Over the last few years, i-vectors have been the state-of-the-art technique in speaker and language ...
Word vector representation is widely used in natural language processing tasks. Most word vectors ar...
Els Models Dynamics Lineals (LDM) han demostrat ser capaços de modelar la parla i aconseguir bons re...
This thesis has taken a closer look at the implementation of the back-end of a language recognition ...
There is a representation problem when working with natural language processing because once the tra...
Dentro del reconocimiento automático del habla, los modelos de lenguaje estadísticos basados en la p...
Artificial neural networks have become the state-of-the-art in the task of language modelling wherea...
Word representations are important for many Natural Language Processing (NLP) tasks. Obtaining good...
In this paper we present our results on using RNN-based LM scores trained on different phone-gram or...
Continuous vector representations, as a distributed representations for words have gained a lot of a...
Word vectors, embeddings of words into a low-dimensional space, have been shown to be useful for a l...
Projet DIALOGUEThe coorelation between vectors in a sequence of analysis frames are supposed to be s...