Ahmed Ali | DeepAI

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Nadir Durrani
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Suwon Shon
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∙ 11/02/2022

SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation

One of the biggest challenges in designing mispronunciation detection mo...

8 Yassine El Kheir, et al. ∙

∙ 03/07/2022

Creating Speech-to-Speech Corpus from Dubbed Series

Dubbed series are gaining a lot of popularity in recent years with stron...

0 Massa Baali, et al. ∙

∙ 01/30/2022

ClassSPLOM – A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data

In multiclass classification of multidimensional data, the user wants to...

9 Michael Aupetit, et al. ∙

∙ 01/07/2022

Code-Switching Text Augmentation for Multilingual Speech Processing

The pervasiveness of intra-utterance Code-switching (CS) in spoken conte...

10 Amir Hussein, et al. ∙

∙ 07/04/2021

Arabic Code-Switching Speech Recognition using Monolingual Data

Code-switching in automatic speech recognition (ASR) is an important cha...

5 Ahmed Ali, et al. ∙

∙ 07/01/2021

What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis

End-to-end DNN architectures have pushed the state-of-the-art in speech ...

0 Shammur Absar Chowdhury, et al. ∙

∙ 06/24/2021

QASR: QCRI Aljazeera Speech Resource – A Large Scale Annotated Arabic Speech Corpus

We introduce the largest transcribed Arabic speech corpus, QASR, collect...

26 Hamdy Mubarak, et al. ∙

∙ 06/10/2021

KARI: KAnari/QCRI's End-to-End systems for the INTERSPEECH 2021 Indian Languages Code-Switching Challenge

In this paper, we present the Kanari/QCRI (KARI) system and the modeling...

8 Amir Hussein, et al. ∙

∙ 05/31/2021

Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR

With the advent of globalization, there is an increasing demand for mult...

5 Shammur Absar Chowdhury, et al. ∙

∙ 01/21/2021

Arabic Speech Recognition by End-to-End, Modular Systems and Human

Recent advances in automatic speech recognition (ASR) have achieved accu...

27 Amir Hussein, et al. ∙

∙ 10/31/2020

Efficient Arabic emotion recognition using deep neural networks

Emotion recognition from speech signal based on deep learning is an acti...

0 Ahmed Ali, et al. ∙

∙ 08/08/2020

Word Error Rate Estimation Without ASR Output: e-WER2

Measuring the performance of automatic speech recognition (ASR) systems ...

0 Ahmed Ali, et al. ∙

∙ 05/09/2020

What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context

Predicting the political bias and the factuality of reporting of entire ...

0 Ramy Baly, et al. ∙

∙ 10/20/2019

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

We address the problem of predicting the leading political ideology, i.e...

0 Yoan Dinkov, et al. ∙

∙ 10/04/2019

Detecting Deception in Political Debates Using Acoustic and Textual Features

We present work on deception detection, where, given a spoken claim, we ...

19 Daniel Kopev, et al. ∙

∙ 09/26/2019

DARTS: Dialectal Arabic Transcription System

We present the speech to text transcription system, called DARTS, for lo...

0 Sameer Khurana, et al. ∙

∙ 07/09/2019

Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition

End-to-end neural network systems for automatic speech recognition (ASR)...

0 Yonatan Belinkov, et al. ∙

∙ 12/04/2018

Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain

End-to-end deep learning language or dialect identification systems oper...

0 Suwon Shon, et al. ∙

∙ 03/12/2018

Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition

Dialect identification (DID) is a special case of general language ident...

0 Suwon Shon, et al. ∙

∙ 09/21/2017

WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition

We study the problem of evaluating automatic speech recognition (ASR) sy...

0 Ahmed Ali, et al. ∙

∙ 09/21/2017

Speech Recognition Challenge in the Wild: Arabic MGB-3

This paper describes the Arabic MGB-3 Challenge - Arabic Speech Recognit...

0 Ahmed Ali, et al. ∙

∙ 08/28/2017

MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge

In order to successfully annotate the Arabic speech con- tent found in o...

0 Suwon Shon, et al. ∙

∙ 09/23/2015

Automatic Dialect Detection in Arabic Broadcast Speech

We investigate different approaches for dialect identification in Arabic...

0 Ahmed Ali, et al. ∙

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