TranSegId: A System for Concurrent Speech Transcription, Speaker Segmentation and Speaker Identification
نویسندگان
چکیده
A system to analyze live audio feeds using speech and speaker recognition is described. Multi-modal analysis of this nature calls for concurrent operations to transcribe speech, to partition it into acoustically homogeneous, single-speaker segments, and to identify the speaker in these segments. The architecture of such a system built at IBM is described along with the techniques used in the individual modules involved. The output of this system can be used in searching through audio and video clips, tracking speakers in multiple broadcast feeds, and in other cataloging tasks.
منابع مشابه
Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملVisual speech segmentation and speaker recognition for transcription of TV news
This paper is about a method for visual segmentation of TV news. The TV news shows are segmented according to the visual stream from the video TV recordings in this method. Human faces are found in the single visual segments with the help of the fast algorithm for face detection. The found faces are compared with the visual GMMs, that have been trained from the video picture of the single broad...
متن کاملThe Approach of Speaker Diarization by Gaussian Mixture Model (GMM)
Speaker identification is an important activity in the process of speaker diarization. We need to model the speaker by Gaussian mixture model (GMM) for speaker identification purpose. Large GMM is called as a Universal Background Model (UBM) which is adapted into each speaker model for speaker identification purpose. This paper focuses on speech clustering for speaker diarization. The speaker d...
متن کاملSpeaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in an audio stream, whereas speaker clustering aims at grouping speech segments based on speaker characteristics. Model-based, metric-based, and hybrid speaker segmentation algorithms are reviewed. Concerning speaker clu...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999