#Cpc 2000 prompter software download#

Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form.

The anechoic target reference (front microphone the premixed target signal convolved with the BRIR with the reflections вЂњturned offвЂќ).ДЇigure 1.

The properties of the tube and ear mould are not considered. The distance between microphones is approx. The hearing aid has a Behind-The-Ear (BTE) form factor see Figure 1.

A hearing aid with 3 microphone inputs (front, mid, rear).

The sum of the target and interferer convolved with the appropriate BRIRs.

The interferer convolved with the appropriate BRIR.

The target convolved with the appropriate BRIR.

For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):.

Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth.

The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).

Other information also provided, click me to expandДata used to create inputs to hearing aids, etc:

Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.ДЇor evaluation not all of the data is available, see below.

Prompts of the utterances (what the actors were told to say).

The mono target and interferer signals (pre-convolution).

The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (вЂtarget_anechoicвЂ™).

The output of the hearing aid processor.

For the prediction challenge, some of the data can be ignored (but is included because some may find it useful).Дata and metadata most useful for the prediction challenge: This contains all the information about how the signals processed by the hearing aids were created. RAVEN is the geometric room acoustic model used to create the BRIR. Randomised room dimensions, target and interferer locations are used. See the page on modelling the scenario for more details. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. The training/development and evaluation sets are disjoint for system and listener.Д«inaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners.Д®ach scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The evaluation dataset will be made available one month before the challenge submission deadline.

For more information on supplementing the training data, please see the rules, and also the FAQ.

The final evaluation and ranking will be performed with the (held-out) evaluation set.

You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation.

The dataset is split into these two subsets: training/development ( train) and evaluation ( eval).

#Cpc 2000 prompter software download#

To obtain the data and baseline code, please visit the download page.