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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...
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03/07/2022
Creating Speech-to-Speech Corpus from Dubbed Series
Dubbed series are gaining a lot of popularity in recent years with stron...
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01/30/2022
ClassSPLOM – A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data
In multiclass classification of multidimensional data, the user wants to...
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01/07/2022
Code-Switching Text Augmentation for Multilingual Speech Processing
The pervasiveness of intra-utterance Code-switching (CS) in spoken conte...
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07/04/2021
Arabic Code-Switching Speech Recognition using Monolingual Data
Code-switching in automatic speech recognition (ASR) is an important cha...
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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 ...
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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...
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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...
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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...
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01/21/2021
Arabic Speech Recognition by End-to-End, Modular Systems and Human
Recent advances in automatic speech recognition (ASR) have achieved accu...
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10/31/2020
Efficient Arabic emotion recognition using deep neural networks
Emotion recognition from speech signal based on deep learning is an acti...
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08/08/2020
Word Error Rate Estimation Without ASR Output: e-WER2
Measuring the performance of automatic speech recognition (ASR) systems ...
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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 ...
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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...
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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 ...
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09/26/2019
DARTS: Dialectal Arabic Transcription System
We present the speech to text transcription system, called DARTS, for lo...
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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)...
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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...
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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...
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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...
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09/21/2017
Speech Recognition Challenge in the Wild: Arabic MGB-3
This paper describes the Arabic MGB-3 Challenge - Arabic Speech Recognit...
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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...
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09/23/2015