Optical character recognition (OCR) is one of the most popular techniques used for
converting printed documents into machine-readable ones. While OCR engines can do well …

Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

A new software paradigmSoftware as a Service'based on web services is proposed for
multilingual linguistic tools and exemplified with the BAS CLARIN web services. Instead of …

This paper introduces a new corpus of read English speech, suitable for training and
evaluating speech recognition systems. The LibriSpeech corpus is derived from audiobooks …

This paper proposes a speech emotion recognition method based on phoneme sequence
and spectrogram. Both phoneme sequence and spectrogram retain emotion contents of …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

The paper overviews the 11th evaluation campaign organized by the IWSLT workshop. The
2014 evaluation offered multiple tracks on lecture transcription and translation based on the …

In this work we present a new approach to the field of weakly supervised learning in the
video domain. Our method is relevant to sequence learning problems which can be split up …

Grapheme-to-phoneme (G2P) models are key components in speech recognition and text-to-
speech systems as they describe how words are pronounced. We propose a G2P model …

Methods, systems, and apparatus, including computer programs encoded on a computer
storage medium, for determining pronunciations for particular terms. The methods, systems …