Discovering phonetic inventories with crosslingual automatic speech recognition

Multilingual and Crosslingual Speech Recognition

This paper describes the design of a multilingual speech recognizer using an LVCSR dictation database which has been collected under the project GlobalPhone. This project at the University of Karlsruhe investigates LVCSR systems in 15 languages of the world, namely Arabic, Chinese, Croatian, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Tamil, and Tu...

Analysis of phonetic transcriptions for Danish automatic speech recognition

Automatic speech recognition (ASR) relies on three resources: audio, orthographic transcriptions and a pronunciation dictionary. The dictionary or lexicon maps orthographic words to sequences of phones or phonemes that represent the pronunciation of the corresponding word. The quality of a speech recognition system depends heavily on the dictionary and the transcriptions therein. This paper pre...

Lexical and phonetic modeling for Arabic automatic speech recognition

In this paper, we describe the use of either words or morphemes as lexical modeling units and the use of either graphemes or phonemes as phoneticmodeling units for Arabic automatic speech recognition (ASR). We designed four Arabic ASR systems: two word-based systems and two morpheme-based systems. Experimental results using these four systems show that they have comparable state-of-the-art perf...

Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information

Speech recognition with automatic punctuation

We present a method of speech recognition with automatic punctuation based on a combination of acoustic and lexical evidence. In the recognizer vocabulary, punctuation marks are treated as word entries. By assigning the acoustic baseforms of silence, breath, and other non-speech sounds to punctuation marks, and using a properly processed N-gram language model, unpronounced punctuation marks of ...