Unable to do speaker diarization with ASR

[godspirit00]

I'm trying to do speaker diarization with ASR on my audio file, but when it came to Performing Clustering, it throws the following error:

Traceback (most recent call last):
  File "examples/speaker_tasks/diarization/asr_with_diarization.py", line 118, in <module>
    diar_labels = asr_diar_offline.run_diarization(
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/diarization_utils.py", line 673, in run_diarization
    oracle_model.diarize()
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/models/clustering_diarizer.py", line 370, in diarize
    perform_diarization(
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/speaker_utils.py", line 333, in perform_diarization
    all_reference, all_hypothesis = perform_clustering(
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/speaker_utils.py", line 258, in perform_clustering
    cluster_labels = COSclustering(
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/nmse_clustering.py", line 558, in COSclustering
    est_num_of_spk, p_hat_value, best_g_p_value = nmesc.NMEanalysis()
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/nmse_clustering.py", line 403, in NMEanalysis
    est_num_of_spk, g_p = self.getEigRatio(p_value)
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/nmse_clustering.py", line 467, in getEigRatio
    est_num_of_spk, lambdas, lambda_gap_list = estimateNumofSpeakers(affinity_mat, self.max_num_speaker, self.cuda)
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/nmse_clustering.py", line 244, in estimateNumofSpeakers
    lambdas, _ = eigDecompose(laplacian, is_cuda)
  File "/mnt/d/TTSs/NeMo/nemo/collections/asr/parts/utils/nmse_clustering.py", line 219, in eigDecompose
    lambdas, diffusion_map = eigh(laplacian)
RuntimeError: torch.linalg.eigh: The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 121893).

What am I missing? Thanks!