The (polyphone-like) English SpeechDat(M) database was recorded within the framework of the SPEECHDAT(M) Project. It consists of 1,000 speakers, chosen according to their individual demographics, who were recorded over digital telephone lines using fixed telephone sets. The material to be spoken was provided to the caller via a prompt sheet. The database is divided into two sub-sets: the phonetically rich sentences (one CD) known as DB2, and the application-oriented utterances (two CDs) known as DB1. The recorded material in DB1 comprises immediately usable and relevant speech, including number and letter sequences, common control keywords, dates, times, money amounts, etc. This provides a realistic basis for using these resources for the training and assessment of speaker-independent recognition of both isolated and continuous speech utterances, employing either whole-word modeling and/or phoneme based approaches.The sample rate for speech is 8 KHz, quantisation is 8 bit, and a-law encoding is used. This results in a data rate of 64 kB/s. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.