[Refactor] Remove resampy dependency (#2891)

Signed-off-by: Nick Cao <ncao@redhat.com>

examples/online_serving/qwen3_tts/speaker_embedding_interpolation.py

@@ -5,7 +5,7 @@ speaker encoder from a Qwen3-TTS checkpoint, then interpolates between them
 using SLERP and sends the result to the /v1/audio/speech API.
 
 Requirements:
-    pip install torch resampy soundfile numpy httpx
+    pip install torch soundfile numpy httpx
 
 Examples:
     # Extract and save an embedding
@@ -143,11 +143,12 @@ def _load_speaker_encoder_weights(encoder: torch.nn.Module, model_path: str) ->
 
 def compute_mel_spectrogram(audio: np.ndarray, sr: int = 24000) -> torch.Tensor:
     """Compute 128-bin mel spectrogram matching Qwen3-TTS's extraction pipeline."""
-    from vllm.multimodal.audio import resample_audio_resampy
+    from vllm.multimodal.audio import AudioResampler
 
     # Resample to 24kHz if needed
     if sr != 24000:
-        audio = resample_audio_resampy(audio.astype(np.float32), orig_sr=sr, target_sr=24000)
+        resampler = AudioResampler(target_sr=24000)
+        audio = resampler.resample(audio.astype(np.float32), orig_sr=sr)
 
     y = torch.from_numpy(audio).unsqueeze(0).float()