Automatic Telephone Exchanǵe Systems—II

Mandarin telephone speech recognition for automatic telephone number directory service

This paper discusses an HMM-based Mandarin telephone speech recognition method for implementing a prototype system of automatic telephone number directory service. It adopted the GPD/MCE training algorithm to train the HMM models for 100 final-dependent syllable initials and 40 syllable finals. The SBR method was used to compensate the speaker and channel effects. Besides, an RNN-based pre-clas...

Automatic Language Identification of Telephone Speech

II Lincoln Laboratory has investigated the development of a system that can automatically identify the language of a speech utterance. To perform the task of automatic language identification, we have experimented with four approaches: Gaussian mixture model classification; single-language phone recognition followed by language modeling (PRLM); parallel PRLM, which uses multiple single-language...

Automatic Evaluation of Tracheoesophageal Telephone Speech

The tracheoesophageal (TE) substitute voice is currently state–of–the–art treatment to restore the ability to speak after laryngectomy. The intelligibility while talking over a telephone is an important clinical factor, as it is a crucial part of the patients’ social life. An objective way to rate the intelligibility of substitute voices when talking over a telephone is desirable to improve the...

Syllable-based Automatic Arabic Speech Recognition in Noisy-telephone Channel

The performance of well-trained speech recognizers using high quality full bandwidth speech data is usually degraded when used in real world environments. In particular, telephone speech recognition is extremely difficult due to the limited bandwidth of transmission channels. In this paper, we concentrate on the telephone recognition of Egyptian Arabic speech using syllables. Arabic spoken digi...

Implementation of an Automatic Voice-Driven Telephone Exchange