145 research outputs found
Speech Separation Using Partially Asynchronous Microphone Arrays Without Resampling
We consider the problem of separating speech sources captured by multiple
spatially separated devices, each of which has multiple microphones and samples
its signals at a slightly different rate. Most asynchronous array processing
methods rely on sample rate offset estimation and resampling, but these offsets
can be difficult to estimate if the sources or microphones are moving. We
propose a source separation method that does not require offset estimation or
signal resampling. Instead, we divide the distributed array into several
synchronous subarrays. All arrays are used jointly to estimate the time-varying
signal statistics, and those statistics are used to design separate
time-varying spatial filters in each array. We demonstrate the method for
speech mixtures recorded on both stationary and moving microphone arrays.Comment: To appear at the International Workshop on Acoustic Signal
Enhancement (IWAENC 2018
LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices
We present LibriWASN, a data set whose design follows closely the LibriCSS
meeting recognition data set, with the marked difference that the data is
recorded with devices that are randomly positioned on a meeting table and whose
sampling clocks are not synchronized. Nine different devices, five smartphones
with a single recording channel and four microphone arrays, are used to record
a total of 29 channels. Other than that, the data set follows closely the
LibriCSS design: the same LibriSpeech sentences are played back from eight
loudspeakers arranged around a meeting table and the data is organized in
subsets with different percentages of speech overlap. LibriWASN is meant as a
test set for clock synchronization algorithms, meeting separation, diarization
and transcription systems on ad-hoc wireless acoustic sensor networks. Due to
its similarity to LibriCSS, meeting transcription systems developed for the
former can readily be tested on LibriWASN. The data set is recorded in two
different rooms and is complemented with ground-truth diarization information
of who speaks when.Comment: Accepted for presentation at the ITG conference on Speech
Communication 202
Nonuniform Power Changes and Spatial, Temporal and Spectral Diversity in High Gamma Band (\u3e60 Hz) Signals in Human Electrocorticography
High-gamma band: \u3e60Hz) power changes in cortical electrophysiology are a reliable indicator of focal, event-related cortical activity. In spite of discoveries of oscillatory subthreshold and synchronous suprathreshold activity at the cellular level, there is an increasingly popular view that high-gamma band amplitude changes recorded from cellular ensembles are the result of asynchronous firing activity that yields wideband and uniform power increases. Others have demonstrated independence of power changes in the low- and high-gamma bands, but to date, no studies have shown evidence of any such independence above 60Hz. Based on non-uniformities in time-frequency analyses of electrocorticographic: ECoG) signals, we hypothesized that induced high-gamma band: 60-500Hz) power changes are more heterogeneous than currently understood. We quantified this spectral non-uniformity with two different approaches using single-word repetition tasks in human subjects. First, we showed that the functional responsiveness of different ECoG high-gamma sub-bands can discriminate cognitive tasks: e.g., hearing, reading, speaking) and cortical locations. Power changes in these sub-bands of the high-gamma range are consistently present within single trials and have statistically different time courses within the trial structure. Moreover, when consolidated across all subjects within three task-relevant anatomic regions: sensorimotor, Broca\u27s area, and superior temporal gyrus), these behavior- and location- dependent power changes evidenced nonuniform trends across the population of subjects. Second, we studied the dynamics of multiple frequency bands in order to quantify the diversity present in the ECoG signals. Using a matched filter construct and receiver operating characteristic: ROC) analysis we show that power modulations correlated with phonemic content in spoken and heard words are represented diffusely in space, time and frequency. Correlating power modulation in multiple frequency bands above 60 Hz over broad cortical areas, with time varying envelopes significantly improved performed area under the ROC curve scores in phoneme prediction experiments. Finally we show preliminary evidence supporting our hypothesis in microarray ECoG data. Taken together, the nonuniformity of high frequency power changes and the information content captured in the spatio-temporal dynamics of those frequencies suggests that a new approach to evaluating high-gamma band cortical activity is necessary. These findings show that in addition to time and location, frequency is another fundamental dimension of high-gamma dynamics
Multimodal Probabilistic Person Tracking and Identification in Smart Spaces
In this thesis, a new methodology is introduced for the multimodal tracking and identification of multiple persons by seeking and integrating reliable ID cues whenever they become observable. The method opportunistically integrates person-specific identification cues that can only sparsely be observed for each person over time and keeps track of the location of identified persons while ID cues are not available
Medical microprocessor systems
The practical classes and laboratory work in the discipline "Medical microprocessor systems", performed using software in the programming environment of microprocessors Texas Instruments (Code Composer Studio) and using of digital microprocessors of the Texas Instruments DSK6400 family, and models of electrical equipment in the environment of graphical programming LabVIEW 2010.ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΈΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΡΠΌ Π· ΠΏΡΠΎΠ³ΡΠ°ΠΌΡΠ²Π°Π½Π½Ρ ΡΠ° ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠ΅Π΄ΠΈΡΠ½ΠΈΡ
ΠΌΡΠΊΡΠΎΠΏΡΠΎΡΠ΅ΡΠΎΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ, ΡΠΊΠΈΠΉ Π²ΠΈΠΊΠ»Π°Π΄Π΅Π½ΠΎ Ρ Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΎΠΌΡ ΠΏΠΎΡΡΠ±Π½ΠΈΠΊΡ Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ Π½Π°ΠΊΠΎΠΏΠΈΡΡΠ²Π°ΡΠΈ ΠΉ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΎΡΡΠΈΠΌΠ°Π½Ρ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π· ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΊΡΡΡΡ Π½Π° Π²ΡΡΡ
ΡΡΠ°Π΄ΡΡΡ
Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡ, ΡΠΎ Ρ Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΠΌ Π΄Π»Ρ ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΌΠ°Π³ΡΡΡΡΡΠ² ΡΠ° Π½Π΅ΠΎΠ±Ρ
ΡΠ΄Π½ΠΎΡ Π»Π°Π½ΠΊΠΎΡ Ρ Π½Π°ΡΠΊΠΎΠ²ΠΎΠΌΡ ΠΏΡΠ·Π½Π°Π½Π½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ½ΠΈΡ
ΠΎΡΠ½ΠΎΠ² Π±ΡΠΎΠΌΠ΅Π΄ΠΈΡΠ½ΠΎΡ Π΅Π»Π΅ΠΊΡΡΠΎΠ½ΡΠΊΠΈ.The laboratory workshop on the programming and construction of medical microprocessor systems, which is outlined in the tutorial, helps to accumulate and effectively use the information obtained from a theoretical course at all stages of the educational process, which is important for the preparation of masters and a necessary link in the scientific knowledge of the practical basics of biomedicine.ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΡΠΌ ΠΏΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΌΠΈΠΊΡΠΎΠΏΡΠΎΡΠ΅ΡΡΠΎΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ Π² ΡΡΠ΅Π±Π½ΠΎΠΌ ΠΏΠΎΡΠΎΠ±ΠΈΠΈ ΠΏΠΎΠΌΠΎΠ³Π°Π΅Ρ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°ΡΡ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΈΠ· ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΡΡΡΠ° Π½Π° Π²ΡΠ΅Ρ
ΡΡΠ°Π΄ΠΈΡΡ
ΡΡΠ΅Π±Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°, ΡΡΠΎ Π²Π°ΠΆΠ½ΠΎ Π΄Π»Ρ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΌΠ°Π³ΠΈΡΡΡΠΎΠ² ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌ Π·Π²Π΅Π½ΠΎΠΌ Π² Π½Π°ΡΡΠ½ΠΎΠΌ ΠΏΠΎΠ·Π½Π°Π½ΠΈΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΠ² Π±ΠΈΠΎΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΈΠΊΠΈ
Index to 1985 NASA Tech Briefs, volume 10, numbers 1-4
Short announcements of new technology derived from the R&D activities of NASA are presented. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This index for 1985 Tech Briefs contains abstracts and four indexes: subject, personal author, originating center, and Tech Brief Number. The following areas are covered: electronic components and circuits, electronic systems, physical sciences, materials, life sciences, mechanics, machinery, fabrication technology, and mathematics and information sciences
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