Meinrad Niemoeller

Title: Meinrad Niemoeller: Innovator in Speech Recognition Technology

Introduction

Meinrad Niemoeller is a notable inventor based in Holzkirchen, Germany. He has made significant contributions to the field of speech recognition technology. His innovative work has led to the development of a unique hybrid lexicon that enhances the accuracy and efficiency of speech recognition systems.

Latest Patents

Meinrad Niemoeller holds a patent for a "Hybrid lexicon for speech recognition." This patent describes methods and apparatus for speech recognition based on a hidden Markov model. The disclosed method involves modeling words to be recognized as chains of states, which are trained using predefined speech data material. The known vocabulary is divided into first and second partial vocabularies. The first partial vocabulary is trained and transcribed using a whole word model, while the second is trained and transcribed using a phoneme-based model. This approach results in a mixed hidden Markov model, with transcriptions stored in a single pronunciation lexicon and the mixed model in a single search space.

Career Highlights

Meinrad Niemoeller is associated with Svox AG, a company known for its advancements in speech technology. His work at Svox AG has been instrumental in pushing the boundaries of what is possible in speech recognition.

Collaborations

Throughout his career, Meinrad has collaborated with notable colleagues such as Erwin Marschall and Ralph Wilhelm. These collaborations have contributed to the development of innovative solutions in the field of speech recognition.

Conclusion

Meinrad Niemoeller's contributions to speech recognition technology exemplify the impact of innovative thinking in the field. His patent and work at Svox AG highlight the importance of advancements in this area.