Lark Trills for Language Drills: Text-to-speech technology for language learners
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text-to-speechText to SpeechSimilar Papers 제목 키워드 기반
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices
This work introduces BRILLsson, a novel binary neural network-based representation learning model for a broad range of non-semantic speech tasks. We train the model with knowledge distillation from a large and real-value…
Emotion RecognitionKeyword SpottingKnowledge DistillationLanguage Identification+2The First Parallel Multilingual Corpus of Persian: Toward a Persian BLARK
In this article, we have introduced the first parallel corpus of Persian with more than 10 other European languages. This article describes primary steps toward preparing a Basic Language Resources Kit (BLARK) for Persia…
A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
Named Entity Recognition (NER) is one of the essential applications of Natural Language Processing (NLP). It is also an instrument that plays a significant role in many other NLP applications, such as Machine Translation…
Information RetrievalMachine Translationnamed-entity-recognitionNamed Entity Recognition+4Are Paralinguistic Representations all that is needed for Speech Emotion Recognition?
Availability of representations from pre-trained models (PTMs) have facilitated substantial progress in speech emotion recognition (SER). Particularly, representations from PTM trained for paralinguistic speech processin…
AllEmotion RecognitionSpeech Emotion RecognitionTackling Cognitive Impairment Detection from Speech: A submission to the PROCESS Challenge
This work describes our group's submission to the PROCESS Challenge 2024, with the goal of assessing cognitive decline through spontaneous speech, using three guided clinical tasks. This joint effort followed a holistic …