Dataset Groups Activity Stream Speaker Diarization with LSTM Speaker diarization is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. BibTex: @dataset{Quan_Wang_and_Carlton_Downey_and_Li_Wan_and_Philip_Andrew_Mansfield_and_Ignacio_Lopez_Moreno_2024, abstract = {Speaker diarization is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity.}, author = {Quan Wang and Carlton Downey and Li Wan and Philip Andrew Mansfield and Ignacio Lopez Moreno}, doi = {10.57702/o9cfa4xs}, institution = {No Organization}, keyword = {'LSTM', 'd-vectors', 'speaker diarization', 'speaker verification'}, month = {dec}, publisher = {TIB}, title = {Speaker Diarization with LSTM}, url = {https://service.tib.eu/ldmservice/dataset/speaker-diarization-with-lstm}, year = {2024} }
