This paper deals with new methods for phoneme-to-phoneme (P2P) alignment and conversion. Alignment is carried out by dynamic programming for Levenshtein distance calculation. Cost functions based on phoneme co-occurrence statistics and on distinctive feature vector distances accounting for connected speech processes are comparatively evaluated. Given the aligned data, decision trees for P2P con...

Stand-alone devices for tactile speech reception serve a need as communication aids persons with profound sensory impairments well in applications such human-computer interfaces and remote when the normal auditory visual channels are compromised or overloaded. The current research is concerned perceptual evaluations of phoneme-based device which unique code was assigned to each 24 consonants 15...

This paper proposes imitated phoneme models that represent non-verbal sounds, especially cough sounds here, as phoneme sequences. The purpose of this research is to detect the cough sounds from user utterances accurately for the home health care task because coughing is one of the most important barometers to check the health condition. To deal with the variety of the cough sounds, the imitated...

This paper proposes a correct phoneme sequence estimation method using a deep neural network (DNN)-based framework for spoken term detection (STD). We use a DNN architecture as a correct phoneme estimator. The DNN-based estimator estimates a correct phoneme sequence of an utterance from some sorts of phoneme-based transcriptions produced by multiple ASR systems in post-processing, for reducing ...

This paper describes three phoneme monitoring experiments which show that reaction time increases with phoneme duration. Previous studies have shown that reaction time differs according to phoneme type (van Ooijen, Cutler and Norris 1992, Cutler, van Ooijen, Norris and Sanchez-Casas 1996). Our first experiment confirms this finding. Our results also suggested that differences in reaction time a...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...

In this paper we investigate the automatic detection of phoneme boundaries in audio recordings of an unknown language. This work is motivated by the needs of the project BULB which aims to support linguists in documenting unwritten languages. The automatic phonemic transcription of recordings of the unwritten language is part of this. We cannot use multilingual phoneme recognizers as their phon...

A novel phoneme-lattice to phoneme-sequence matching algorithm based on dynamic programming is presented in this paper. Phoneme lattices have been shown to be a good choice to encode in a compact way alternative decoding hypotheses from a speech recognition system. These are typically used for the spoken term detection and keyword-spotting tasks, where a phoneme sequence query is matched to a r...

Word embedding has made great achievements in many natural language processing tasks. However, the attempt to apply word embedding to the field of speech got few breakthroughs. The reason is that word vectors mainly contain semantic and syntactic information. Such high level features are difficult to be directly incorporated in speech related tasks compared to acoustic or phoneme related featur...