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Introduction
PhD, Associate Professor at the University of Science and Technology Houari Boumediene.
Current institution
Additional affiliations
September 2016 - October 2016
January 2011 - June 2016
September 2012 - present
Publications
Publications (10)
![Figure 2. Anechoic chamber described in [27].](profile/Lyes-Demri/publication/281671643/figure/fig2/AS:646123387633664@1531059228432/Anechoic-chamber-described-in-27_Q320.jpg)
In this article we present the methodology employed for the design and evaluation of a Basic Arabic Expressive Speech corpus (BAES-DB). The corpus, which has a total length of approximately 150 minutes, is constituted of 13 speakers uttering a set of 10 sentences while simulating 3 emotions (joy, anger and sadness) in addition to a neutral utteranc...
In this paper we will present a contribution to the design of an expressive speech synthesis system for the Arabic language. The system uses diphone concatenation as the synthesis method for the generation of 10 phonetically balanced sentences in Arabic. Rules for the orthographic-to-phonetic transcription are detailed, as well as the methodology e...
The general objective of this paper is to build a system in order to automatically recognize emotion in speech. The linguistic material used is a corpus of Arabic expressive sentences phonetically balanced. The dependence of the system on speaker is an encountered problem in this field; in this work we will study the influence of this phenomenon on...
This paper presents the methods used and results obtained for the creation of a Festival-compatible pronunciation dictionary of above 10k words for the kabyle language. Kabyle is a berber dialect spoken in Northern Algeria. This dictionary will be useful in the design of text-to-speech and automatic speech recognition systems for the kabyle languag...
This is a pronunciation dictionary for the kabyle language presented in the Festival format for speech synthesis. It can also be used for ASR in the Kabyle Language. The symbols representing each phoneme are given in this paper:
https://link.springer.com/chapter/10.1007/978-3-030-26061-3_32
This paper describes the design of an automatic identification system for the distinction between two common languages in Algeria which are MSA (Modern Standard Arabic) and Kabyle which is an Algerian Berber dialect. The characteristics used for this are prosodic (melody and stress) and cepstral (Mel Frequency Cepstral Coefficients) features extrac...
This is a corpus of expressive speech for the arabic language.
It consists of 13 speakers pronouncing 10 sentences in 4 expressive styles: Neutral, Anger, Joy and Sadness.
Cette thèse décrit nos contributions à la réalisation d‘un système de synthèse de parole expressive en
langue arabe à partir du texte. L‘approche adoptée pour la synthèse est la concaténation de diphones de
styles expressifs différents pour la génération des diverses expressivités. L‘algorithme TD-PSOLA
(Time-Domain Pitch Synchronous Overlap-Add) p...
The prosody of a speech signal is related to many factors: the social and geographical origin of the speaker, his or her emotional state, his physiological state (weariness, sickness, …) and the type of the sentence (interrogative, affirmative, etc.). A good synthesis or speech transformation system must account for all of these factors in order to...
Questions
Questions (8)
Hi everyone, I'm attempting to code the Tacotron speech synthesis system from scratch to make sure I understand it. I'm done implementing the first convolutional filterbank layer and have implemented the max pooling layer, but I don't understand why the authors of chose a max-pooling over time with stride 1. They claim it's to keep the temporal resolution, but my problem is that I think using a stride of 1 is equivalent to just doing nothing and keeping the data as is.
As an example, say we have a matrix in which every time step corresponds to one column:
A= [1,2,3,4;
5,6,7,8;
1,2,3,4];
If we max pool over time with stride 2, we'll have:
B = [2,4;
6,8;
2,4]
Max-pooling with stride one will keep the time resolution but also result in B=A (keep every column). So what's the point of even saying that max-pooling was applied?
I hope my question was clear enough, thank you for reading.
I have programmed a complete feed forward neural network from scratch based on (Jain 1995-ish) in Matlab. I've successfully used it to separate between 2 classes and am planning to use it on the MNIST dataset to do handwritten digit recognition. This is quite an accomplishment on a personal level but I'm fully aware it has very little utility outside of that. Do you think I should try to publish this anyway since I've spent a lot of time and effort on this and if so, what would be the best format/journal/workshop to publish in? Or should I just keep this to myself and move on?
I've always assumed in order to generate a set of MFCCs for speech synthesis using Hidden Markov Models, that there was one HMM per Mel Coefficient, that is 12 HMMs, an HMM for the pitch, and yet another for durations. Apparently people just use one HMM for all the variables, so I wonder if it is possible to do as I first described, and if so is it efficient?
My wife is trying to submit to this journal but we are worried because the editorial team does not appear when we look in the "Editorial Team" tab. Has anyone already posted in this journal?
I find it difficult to combine reading the news and/or history while trying to be efficient in my research. Serious research takes a lot of time and dedication, and it's not easy (for me at least) to stay focused about a scientific paper when my brain is thinking about the state of the planet, politics, controversies and conspiracies. There are also other activities I'd rather indulge in such as music or video games, which I think are better in that they entertain and relax me. I therefore wonder how much time prolific scientists spend reading the news and delving in current controversies; if they ever do so.
