SYMBOL INDEX (47 symbols across 7 files)

FILE: modules/cluster.py
  class SpectralCluster (line 19) | class SpectralCluster:
    method __init__ (line 24) | def __init__(self, min_num_spks=1, max_num_spks=14, pval=0.02, min_pnu...
    method __call__ (line 31) | def __call__(self, X, pval=None, oracle_num=None):
    method get_sim_mat (line 52) | def get_sim_mat(self, X):
    method p_pruning (line 57) | def p_pruning(self, A, pval=None):
    method get_laplacian (line 72) | def get_laplacian(self, M):
    method get_spec_embs (line 79) | def get_spec_embs(self, L, k_oracle=None):
    method cluster_embs (line 95) | def cluster_embs(self, emb, k):
    method getEigenGaps (line 100) | def getEigenGaps(self, eig_vals):
  class UmapHdbscan (line 108) | class UmapHdbscan:
    method __init__ (line 115) | def __init__(self, n_neighbors=20, n_components=60, min_samples=20, mi...
    method __call__ (line 122) | def __call__(self, X):
  class CommonClustering (line 133) | class CommonClustering:
    method __init__ (line 137) | def __init__(self, cluster_type, cluster_line=10, mer_cos=None, min_cl...
    method __call__ (line 152) | def __call__(self, X):
    method filter_minor_cluster (line 168) | def filter_minor_cluster(self, labels, x, min_cluster_size):
    method merge_by_cos (line 187) | def merge_by_cos(self, labels, x, cos_thr):

FILE: modules/model/emotion_encoder.py
  class RegressionHead (line 13) | class RegressionHead(nn.Module):
    method __init__ (line 16) | def __init__(self, config):
    method forward (line 23) | def forward(self, features, **kwargs):
  class EmotionModel (line 34) | class EmotionModel(Wav2Vec2PreTrainedModel):
    method __init__ (line 37) | def __init__(self, config):
    method forward (line 45) | def forward(
  function process_func (line 64) | def process_func(
  function extract_wav (line 89) | def extract_wav(path):

FILE: modules/model/voice_encoder.py
  class VoiceEncoder (line 11) | class VoiceEncoder(nn.Module):
    method __init__ (line 12) | def __init__(self, device: Union[str, torch.device]="cpu", verbose=Tru...
    method forward (line 51) | def forward(self, mels: torch.FloatTensor):
    method compute_partial_slices (line 67) | def compute_partial_slices(n_samples: int, rate, min_coverage):
    method embed_utterance (line 119) | def embed_utterance(self, wav: np.ndarray, return_partials=False, rate...
    method embed_speaker (line 166) | def embed_speaker(self, wavs: List[np.ndarray], **kwargs):

FILE: modules/utils.py
  class GetEmbeds (line 9) | class GetEmbeds:
    method __init__ (line 13) | def __init__(self, encoder_type, Speaker_name):
    method __call__ (line 28) | def __call__(self, wav_fpaths):
    method timbre_encoder (line 38) | def timbre_encoder(self, wav_fpaths):
    method emotion_encoder (line 53) | def emotion_encoder(self, wav_fpaths):
    method mix_encoder (line 68) | def mix_encoder(self, wav_fpaths):

FILE: modules/visualizations.py
  function generate_colors (line 33) | def generate_colors(n):
  function play_wav (line 39) | def play_wav(wav, blocking=True):
  function plot_similarity_matrix (line 50) | def plot_similarity_matrix(matrix, labels_a=None, labels_b=None, ax: plt...
  function plot_histograms (line 75) | def plot_histograms(all_samples, ax=None, names=None, title=""):
  function plot_projections (line 99) | def plot_projections(embeds, speakers, ax=None, colors=None, markers=Non...
  function interactive_diarization (line 142) | def interactive_diarization(similarity_dict, wav, wav_splits, x_crop=5, ...
  function plot_embedding_as_heatmap (line 208) | def plot_embedding_as_heatmap(embed, ax=None, title="", shape=None, colo...
  function process_json_file (line 226) | def process_json_file(file_path):

FILE: viewer/src/App.tsx
  function App (line 3) | function App() {

FILE: viewer/src/ScatterPlot.tsx
  type DataPoint (line 5) | interface DataPoint {