Update README.md

README.md

@@ -48,17 +48,19 @@ We measure the inference speed of different kotoba-whisper-v1.0 implementations
 - OS Sonoma Version 14.4.1 (23E224)
 
 | audio file | audio duration (min)| [whisper.cpp](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml) (sec) | [faster-whisper](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster) (sec)| [hf pipeline](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0) (sec)
-|--------|------|-----|------|---|
-|audio 1 | 50.3 | 581 | 2601 |  |
-|audio 2 | 5.6  | 41  | 73   | 61 |
-|audio 3 | 4.9  | 30  | 141  | 54 |
-|audio 4 | 5.6  | 35  | 126  | 69 |
+|--------|------|-----|------|-----|
+|audio 1 | 50.3 | 581 | 2601 | 807 |
+|audio 2 | 5.6  | 41  | 73   | 61  |
+|audio 3 | 4.9  | 30  | 141  | 54  |
+|audio 4 | 5.6  | 35  | 126  | 69  |
 
 Scripts to re-run the experiment can be found bellow:
 * [whisper.cpp](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/blob/main/benchmark.sh)
 * [faster-whisper](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster/blob/main/benchmark.sh)
 * [hf pipeline](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0/blob/main/benchmark.sh)
-
+Also, currently whisper.cpp and faster-whisper support the [sequential long-form decoding](https://huggingface.co/distil-whisper/distil-large-v3#sequential-long-form),
+and only Huggingface pipeline supports the [chunked long-form decoding](https://huggingface.co/distil-whisper/distil-large-v3#chunked-long-form), which we empirically
+ found better than the sequnential long-form decoding.
 
 ### Quantized Model
 To use the quantized model, download the quantized GGML weights: