Company Filing History:

7 out of 164,108

International Business Machines Corporation

where one patent can have more than one assignee

Years Active: 1999-2021

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11120802 - Diarization driven by the ASR based segmentation (2021-09-14),

2. 10468031 - Diarization driven by meta-information identified in discussion content (2019-11-05),

3. 6859778 - Method and apparatus for translating natural-language speech using multiple output phrases (2005-02-22),

4. 6556972 - Method and apparatus for time-synchronized translation and synthesis of natural-language speech (2003-04-29),

5. 6275801 - Non-leaf node penalty score assignment system and method for improving acoustic fast match speed in large vocabulary systems (2001-08-14),

6. 6178401 - Method for reducing search complexity in a speech recognition system (2001-01-23),

7. 5963905 - Method and apparatus for improving acoustic fast match speed using a (1999-10-05),

Title: Miroslav Novak: Innovator in Audio Processing Technologies

Introduction

Miroslav Novak is a distinguished inventor based in Mohegan Lake, NY (US), known for his contributions to audio processing technologies. With a total of 7 patents, he has made significant strides in the field of automatic speech recognition and speaker diarization.

Latest Patents

Miroslav's latest patents include innovative approaches to diarization driven by automatic speech recognition (ASR) based segmentation. One of his notable inventions involves a method that receives an audio stream and utilizes a voice activation detection (VAD) process to create a digital audio stream of voices from at least two different speakers. This process applies an ASR to the digital stream, resulting in spoken words, followed by a speaker turn detection (STD) process that identifies speaker segments ending at word boundaries. A speaker clustering algorithm is then employed to associate each speaker with their respective segments. Another patent focuses on diarization driven by meta-information identified in discussion content, utilizing similar processes to enhance speaker change detection through a language model.

Career Highlights

Throughout his career, Miroslav has worked with prominent companies such as IBM and Oipenn, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking technologies in audio processing.

Collaborations

Miroslav has collaborated with notable professionals in the field, including Michael Alan Picheny and Raimo Bakis. These partnerships have further enriched his work and expanded the impact of his innovations.

Conclusion

Miroslav Novak's contributions to audio processing and speech recognition technologies have established him as a key figure in the industry. His innovative patents and collaborations reflect his commitment to advancing the field and improving communication technologies.

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