Generating accurate word-level transcripts of recorded speech for language documentation
is difficult and time-consuming, even for skilled speakers of the target language. Automatic …

The transcription bottleneck is often cited as a major obstacle for efforts to document the
world's endangered languages and supply them with language technologies. One solution …

Transcription makes speech accessible to deaf and hard of hearing people. This conversion
of speech to text is still done manually by humans, despite high cost, because the quality of …

Despite its potential utility for facilitating the transcription of speech recordings, automatic
speech recognition (ASR) has not been widely explored as a tool for documenting …

Spoken term detection (STD) aims at retrieving data from a speech repository given a textual
representation of the search term. Nowadays, it is receiving much interest due to the large …

Developing a practical speech recognizer for a low resource language is challenging, not
only because of the (potentially unknown) properties of the language, but also because test …

We present a radio browsing system developed on a very small corpus of annotated speech
by using semi-supervised training of multilingual DNN/HMM acoustic models. This system is …

Thousands of the world's languages are in danger of extinction--a tremendous threat to
cultural identities and human language diversity. Interlinear Glossed Text (IGT) is a form of …

Process of human-machine interaction is an integral part of everyday human life in a modern
world. The various interfaces are intended to facilitate this interaction and provide maximum …

In this paper, we propose a three-stage training methodology to improve the speech
recognition accuracy of low-resource languages. We explore and propose an effective …