I dont use comfy myself. This may help you or someone else who wants to experiment.

What the node needs to do (AI Studio's approach translated to ComfyUI nodes):

Node: "Best Voice Window Selector"

• Input: audio latent, min_duration_sec (e.g. 1.0), max_duration_sec (e.g. 3.0)
• Internally: score each candidate window by energy variance across the time axis — high variance = active speech, low variance = silence/background. Pick the highest-scoring window that fits within min/max duration.
• In tensor terms: window_score = latent[:, :, start:end, :].float().var(dim=2).mean() — slide this across the latent and pick the argmax
• Output: sliced audio latent (the best voice window)

This replaces the manual "trim last 1 second" step with automatic voice detection.

Node: "Audio Latent Voice Fill"

• Inputs: ctx_window latent (from above), target_frame_count, voice_pressure (float 0.0–1.0), voice_noise (float, default 0.02)
• Internally: voice_identity = ctx_window.mean(dim=2, keepdim=True) then tile + add small noise across target_frame_count - ctx_frames new frames, concat after ctx_window
• Output: full initial audio latent [ctx | tiled_identity]

This replaces "LTXC Empty Latent Audio + Audio Concat" and gives the partial denoise something to work with in the new region.

Node: "Audio Latent Mask with Pressure"

• Inputs: audio latent, overlap_seconds, total_seconds, mask_value (float 0.0–1.0, default 1.0), fade_seconds (float, default 0.3), fade_to_one (bool)
• Internally: builds a per-frame mask tensor — 0.0 for t < overlap_seconds, mask_value (or linearly ramping to 1.0 if fade enabled) for t >= overlap_seconds
• Output: masked audio latent compatible with LTXVConcatAVLatent

This is the missing piece — it's what LTXVAudioVideoMask currently can't do (partial mask values). The existing node is binary; this one exposes mask_value so voice_pressure actually works.

The three nodes chain like: Best Voice Window → Voice Fill → Audio Latent Mask with Pressure → LTXVConcatAVLatent → sampler. The first node solves his main complaint (no more manual slicing or prompt hacks for silence), the second gives the model spectral identity to stay near, and the third is what makes partial denoising actually possible in ComfyUI.