Remove the mel-scale spectrogram nodes now that filter banks are supported.

README.md

@@ -2,6 +2,7 @@
 > A collection of nodes for working with audio data.
 
 - [I/O](#io)
+- [Filter Banks](#filter-banks)
 - [Plotting](#plotting)
 - [Spectrogram](#spectrogram)
 - [License](#license)
@@ -38,16 +39,12 @@
 | Spectrogram           | Computes the spectrogram of a given `AUDIO` object.                            |
 | Inverse Spectrogram   | Converts a complex-valued spectrogram to `AUDIO`.                              |
 | Griffin Lim           | Converts a real-valued spectrogram to `AUDIO` using the Griffin-Lim algorithm. |
-| Mel-scale Spectrogram | Computes the mel-scale spectrogram of a given `AUDIO` object.                  |
 
 A spectrogram (`SPECT`) can be one of three types:
 1. `complex` – a complex number valued spectrogram;
 2. `magnitude` – a real valued spectrogram that is the absolute value of the `complex` spectrogram (power 1);
 3. `power` – a real valued spectrogram that is the square of the `magnitude` spectrogram (power 2);
 
-A mel-scale spectrogram (`MEL_SPECT`) is a `magnitude` or `power` spectrogram that has been converted
-to the mel audio scale.
-
 ## License
 Copyright (C) 2024 Reece H. Dunn
 

__init__.py

@@ -6,7 +6,6 @@ from .plot_nodes import (PlotWaveform, PlotSpectrogram, PlotFilterBank)
 from .spect_nodes import (
     Spectrogram, InverseSpectrogram,
     GriffinLim,
-    MelSpectrogram
 )
 
 NODE_CLASS_MAPPINGS = {
@@ -23,7 +22,6 @@ NODE_CLASS_MAPPINGS = {
     "ComfyAudio.Spectrogram": Spectrogram,
     "ComfyAudio.InverseSpectrogram": InverseSpectrogram,
     "ComfyAudio.GriffinLim": GriffinLim,
-    "ComfyAudio.MelSpectrogram": MelSpectrogram,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -40,5 +38,4 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "ComfyAudio.Spectrogram": "Spectrogram",
     "ComfyAudio.InverseSpectrogram": "Inverse Spectrogram",
     "ComfyAudio.GriffinLim": "Griffin Lim",
-    "ComfyAudio.MelSpectrogram": "Mel-scale Spectrogram",
 }

spect_nodes.py

@@ -94,43 +94,3 @@ class GriffinLim:
             waveform = waveform.unsqueeze(0)  # 1 channel (mono) audio
         return ({"waveform": waveform.unsqueeze(0),
                  "sample_rate": spectrogram["sample_rate"]}, )
-
-
-class MelSpectrogram:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {"required": {"audio": ("AUDIO",)},
-                "optional": {"stype": (("magnitude", "power"), {"default": "power"}),
-                             "n_fft": ("INT", {"default": 400, "min": 1, "max": 2**32}),
-                             "n_mels": ("INT", {"default": 128, "min": 1, "max": 2**32}),
-                             "win_length": ("INT", {"default": -1, "min": -1, "max": 2**32}),
-                             "hop_length": ("INT", {"default": -1, "min": -1, "max": 2**32})}}
-
-    CATEGORY = "AudioProcessing/spectrogram"
-
-    RETURN_TYPES = ("MEL_SPECT", )
-    FUNCTION = "spectrogram"
-
-    def spectrogram(self,
-                    audio,
-                    stype="power",
-                    n_fft=400,
-                    n_mels=128,
-                    win_length=-1,
-                    hop_length=-1):
-        if win_length == -1: win_length = None
-        if hop_length == -1: hop_length = None
-        waveform = audio["waveform"].movedim(0, -1).squeeze()
-        spectrogram = T.MelSpectrogram(sample_rate=audio["sample_rate"],
-                                       n_fft=n_fft,
-                                       n_mels=n_mels,
-                                       win_length=win_length,
-                                       hop_length=hop_length,
-                                       power=SPECTROGRAM_TYPE_TO_POWER[stype])(waveform)
-        return ({"spectrogram": spectrogram,
-                 "sample_rate": audio["sample_rate"],
-                 "stype": stype,
-                 "n_fft": n_fft,
-                 "n_mels": n_mels,
-                 "win_length": win_length,
-                 "hop_length": hop_length}, )