Publication

AMIDA/Klewel Mini-Project

2010
Reports

Abstract

The goal of the AMIDA mini-project is to transfer some of the technologies developed within the AMIDA project to be used by a Klewel retrieval system. More specifically, the main focus is to develop a speech-to-text application based on the AMIDA Automatic Speech Recognition (ASR) system which could be potentially implemented by Klewel in their conference webcasting system. First, this document describes experimental setup and results achieved in the project devoted to the automatic processing of real lecture recordings provided by Klewel. Then, a demonstrator — an application created for demonstrating Automatic Speech Recognition (ASR) results—is described.

Official source

https://infoscience.epfl.ch/entities/publication/13041c17-3dc9-4fb6-b207-1b4dc5128e86

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2010
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/13041c17-3dc9-4fb6-b207-1b4dc5128e86

About this result

Related concepts (14)

Speech recognition

Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.

Speech synthesis

Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. The reverse process is speech recognition. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database.

Text mining

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al.

Related publications (3)

AMIDA/Klewel Mini-Project

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An Online Audio Indexing System

Sector-Based Detection for Hands-Free Speech Enhancement in Cars

An Online Audio Indexing System