From phonetics to phonology : The emergence of first words in Italian

This study assesses the extent of phonetic continuity between babble and words in four Italian children followed longitudinally from 0; 9 or 0; 10 to 2;0-two with relatively rapid and two with slower lexical growth. Prelinguistic phonetic characteristics, including both (a) consistent use of specific consonants and (b) age of onset and extent of consonant variegation in babble, are found to predict rate of lexical advance and to relate to the form of the early words. In addition, each child's lexical profile is analyzed to test the hypothesis of non-linearity in phonological development. All of the children show the expected pattern of phonological advance: 'Relatively accurate first word production is followed by lexical expansion, characterized by a decrease in accuracy and an increase of similarity between word forms. We interpret such a profile as reflecting the emergence of word templates, a first step in phonological organization

Internet delivery of time-synchronised multimedia: the SCOTS projects

The Scottish Corpus of Texts and Speech (SCOTS) Project at Glasgow University aims to make available over the Internet a 4 million-word multimedia corpus of texts in the languages of Scotland. Twenty percent of this final total will comprise spoken language, in a combination of audio and video material. Versions of SCOTS have been accessible on the Internet since November 2004, and regular additions are made to the Corpus as texts are processed and functionality is improved. While the Corpus is a valuable resource for research, our target users also include the general public, and this has important implications for the nature of the Corpus and website. This paper will begin with a general introduction to the SCOTS Project, and in particular to the nature of our data. The main part of the paper will then present the approach taken to spoken texts. Transcriptions are made using Praat (Boersma and Weenink, University of Amsterdam), which produces a time-based transcription and allows for multiple speakers though independent tiers. This output is then processed to produce a turn-based transcription with overlap and non-linguistic noises indicated. As this transcription is synchronised with the source audio/video material it allows users direct access to any particular passage of the recording, possibly based upon a word query. This process and the end result will be demonstrated and discussed. We shall end by considering the value which is added to an Internet-delivered Corpus by these means of treating spoken text. The advantages include the possibility of returning search results from both written texts and multimedia documents; the easy location of the relevant section of the audio file; and the production through Praat of a turn-based orthographic transcription, which is accessible to a general as well as an academic user. These techniques can also be extended to other research requirements, such as the mark-up of gesture in video texts

Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation

We investigate whether infant-directed speech (IDS) could facilitate word form learning when compared to adult-directed speech (ADS). To study this, we examine the distribution of word forms at two levels, acoustic and phonological, using a large database of spontaneous speech in Japanese. At the acoustic level we show that, as has been documented before for phonemes, the realizations of words are more variable and less discriminable in IDS than in ADS. At the phonological level, we find an effect in the opposite direction: the IDS lexicon contains more distinctive words (such as onomatopoeias) than the ADS counterpart. Combining the acoustic and phonological metrics together in a global discriminability score reveals that the bigger separation of lexical categories in the phonological space does not compensate for the opposite effect observed at the acoustic level. As a result, IDS word forms are still globally less discriminable than ADS word forms, even though the effect is numerically small. We discuss the implication of these findings for the view that the functional role of IDS is to improve language learnability.Comment: Draf

Synthesis using speaker adaptation from speech recognition DB

This paper deals with the creation of multiple voices from a Hidden Markov Model based speech synthesis system (HTS). More than 150 Catalan synthetic voices were built using Hidden Markov Models (HMM) and speaker adaptation techniques. Training data for building a Speaker-Independent (SI) model were selected from both a general purpose speech synthesis database (FestCat;) and a database design ed for training Automatic Speech Recognition (ASR) systems (Catalan SpeeCon database). The SpeeCon database was also used to adapt the SI model to different speakers. Using an ASR designed database for TTS purposes provided many different amateur voices, with few minutes of recordings not performed in studio conditions. This paper shows how speaker adaptation techniques provide the right tools to generate multiple voices with very few adaptation data. A subjective evaluation was carried out to assess the intelligibility and naturalness of the generated voices as well as the similarity of the adapted voices to both the original speaker and the average voice from the SI model.Peer ReviewedPostprint (published version