Is phoneme length and phoneme energy useful in automatic speaker recognition?

The paper presents analysis of prosodic parameters of speech (energy, phoneme duration) as features characteristic for speaker. The most significant parameters of the features were investigated using CORPORA speech database and described statistically. We observed that phoneme duration depends on a speaker, as well as the preboundary lengthening of the phonemes in sentences. An average phoneme energy and an amount of energy per time are speaker-specific values also. These features can be used as complementary to a standard feature vectors of time-energy distributions for speaker recognition systems. The results of the investigation can be also applied to speech modeling for automatic speech recognition.