392282 ISY Project: Anomaly detection based on speech recognition (Pj) (SoSe 2018)
Contents, comment
-
- Short Description
In the last years, speech recognition has made big steps forward for practical and daily usage and will used as an essential part of future smart homes. Apart from active voice control, speech recognition can be used to detect anomalies to provide first indications of possible medical conditions. In this project different open source speech recognition frameworks (e.g. CMUsphinx, DeepSpeech, Kaldi) will be evaluated in terms of accuracy, features and hardware requirements. A prototype should be developed to detect mispronunciations of words from one person (e.g. based on phonemes) and determine the variance.Please note that the teams will be selected by the supervisors on the basis of short applications that students are expected to send to them. Registering to the project in the ekVV will only be regarded as expression of interest; it will not secure a team membership.
Please get in touch with the supervisors for information on the application procedure.
Requirements for participation, required level
-
Required skills:
-
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 09.04.-20.07.2018 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Registered number: 4
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2018_392282@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_123330519@ekvv.uni-bielefeld.de
- Coverage:
- No students to be reached via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Thursday, October 10, 2019
- Last update times:
- Thursday, February 1, 2018
- Last update rooms:
- Thursday, February 1, 2018
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 4
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=123330519
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 123330519