This data set contains an excerpt of the anechoic recording of the Symphony No. 8 in F Major, Op. 93 by Ludwig van Beethoven, performed by the "Orchester Wiener Akademie" conducted by Martin Haselböck. It was recorded in the anechoic chamber of the TU Berlin.DFG, FOR 1557, Simulation and Evaluation of Acoustical Environments (SEACEN
Content note: The sound recording(s) associated with this repository item derive from a single audio...
A dataset of B-format impulse responses, measured in the large anechoic chamber at the ISVR, Univers...
The dataset contains five extracts from Beethoven’s Concerto N.4, Op. 18: (I) Allegro-Prestissimo m...
For the quality of model-based, virtual acoustic environments, not only the room acoustic simulation...
A method for recording symphonic music with acoustical instruments in an anechoic chamber is present...
Multi-channel orchestral anechoic recordings were obtained at the Technical University of Denmark (D...
Multi-channel orchestral anechoic recordings were obtained at the Technical University of Denmark (D...
Dataset containing audio files for edited anechoic multi-channel recordings of individual musicians ...
A dataset of anechoic recordings of various sound sources encountered in domestic environments is pr...
The Art and Science of Acoustic Recording was a collaborative project between the Royal College of M...
The multi-source auralisation technique is based on anechoic recordings of each single instrument in...
This dataset includes audio and annotations useful for tasks as score-informed source separation, sc...
none1noAuralisation-based research needs anechoic recordings. Where opera is concerned, anechoic mat...
Within the framework of the cooperation between TU Ilmenau, the Fraunhofer Institute for Digital Med...
A new method for the representation of sound sources that vary their directivity in time in auraliza...
Content note: The sound recording(s) associated with this repository item derive from a single audio...
A dataset of B-format impulse responses, measured in the large anechoic chamber at the ISVR, Univers...
The dataset contains five extracts from Beethoven’s Concerto N.4, Op. 18: (I) Allegro-Prestissimo m...
For the quality of model-based, virtual acoustic environments, not only the room acoustic simulation...
A method for recording symphonic music with acoustical instruments in an anechoic chamber is present...
Multi-channel orchestral anechoic recordings were obtained at the Technical University of Denmark (D...
Multi-channel orchestral anechoic recordings were obtained at the Technical University of Denmark (D...
Dataset containing audio files for edited anechoic multi-channel recordings of individual musicians ...
A dataset of anechoic recordings of various sound sources encountered in domestic environments is pr...
The Art and Science of Acoustic Recording was a collaborative project between the Royal College of M...
The multi-source auralisation technique is based on anechoic recordings of each single instrument in...
This dataset includes audio and annotations useful for tasks as score-informed source separation, sc...
none1noAuralisation-based research needs anechoic recordings. Where opera is concerned, anechoic mat...
Within the framework of the cooperation between TU Ilmenau, the Fraunhofer Institute for Digital Med...
A new method for the representation of sound sources that vary their directivity in time in auraliza...
Content note: The sound recording(s) associated with this repository item derive from a single audio...
A dataset of B-format impulse responses, measured in the large anechoic chamber at the ISVR, Univers...
The dataset contains five extracts from Beethoven’s Concerto N.4, Op. 18: (I) Allegro-Prestissimo m...