chore: update whisper.cpp pin to 1.9.4-dev (stream-pcm de8fb5fd)

CHANGELOG.md

@@ -7,7 +7,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
-No unreleased changes.
+### Changed
+
+- Updated the pinned whisper.cpp fork to `rmorse/whisper.cpp` `stream-pcm` at `de8fb5fd` (tag `v1.9.4-dev-stream-pcm`, whisper.cpp `1.9.4-dev`), based on upstream `ggml-org/whisper.cpp` `master` after `v1.9.3`. This picks up upstream releases `v1.8.7` through `v1.9.3` and ggml `0.25.1`.
+- Upstream now re-seeds the decoder between calls (ggml-org/whisper.cpp#4025), so temperature-fallback output is deterministic across repeated transcriptions on the same state.
+- Upstream now rejects Silero VAD models whose encoder does not have exactly 4 layers (ggml-org/whisper.cpp#4064); loading such a model with `WhisperVadProcessor` now fails at load time.
+- On Apple Silicon, upstream's optional ANEForge encoder backend (ggml-org/whisper.cpp#3905) is activated by the `ANEFORGE_ENCODER` and `ANEFORGE_DYLIB` environment variables, which load a dynamic library from the given path when a state is created. It is inactive unless those variables are set.
+- NVIDIA Parakeet support is available in the bundled C library but is not yet exposed through the Rust API.
+- The new upstream VAD segment and VAD-mapped token timestamp accessors are not exposed: they are only populated by upstream's built-in `whisper_full` VAD, which does not run for per-state transcription (`whisper_full_with_state`, used by this crate; see ggml-org/whisper.cpp#3423). Use the crate's own VAD pipeline instead.
 
 ## [0.1.5] - 2026-06-12
 

Cargo.toml

@@ -1,4 +1,4 @@
-# Pinned to whisper.cpp v1.8.6-stream-pcm (fork: rmorse/whisper.cpp, branch: stream-pcm)
+# Pinned to whisper.cpp 1.9.4-dev (fork: rmorse/whisper.cpp, branch: stream-pcm, commit de8fb5fd)
 [workspace]
 members = ["whisper-cpp-plus-sys", "whisper-cpp-plus", "xtask"]
 resolver = "2"

README.md

@@ -1,6 +1,6 @@
 # whisper-cpp-plus
 
-> **Pinned to whisper.cpp v1.8.6-stream-pcm** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`ddfe1196`](https://github.com/rmorse/whisper.cpp/commit/ddfe1196ed8e88c670c0c7e3094ed204daf749ac))
+> **Pinned to whisper.cpp 1.9.4-dev** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`de8fb5fd`](https://github.com/rmorse/whisper.cpp/commit/de8fb5fda8b25837a2ba0034c8c24223a6fd6c6c), based on upstream `ggml-org/whisper.cpp` `master` after `v1.9.3`)
 
 Safe Rust bindings for [whisper.cpp](https://github.com/ggerganov/whisper.cpp) with real-time PCM streaming and VAD support — OpenAI's Whisper speech recognition model.
 
@@ -227,6 +227,8 @@ for (start, end) in segments.get_all_segments() {
 }
 ```
 
+> **Use this crate's VAD, not whisper.cpp's built-in VAD.** Use `WhisperVadProcessor`, `EnhancedWhisperVadProcessor` or `WhisperStreamPcm::with_vad` for voice activity detection. whisper.cpp's built-in `whisper_full` VAD does not run for per-state transcription (`whisper_full_with_state`), which this crate uses for every transcription, so it is intentionally not exposed ([ggml-org/whisper.cpp#3423](https://github.com/ggml-org/whisper.cpp/pull/3423)).
+
 **Enhanced VAD with segment aggregation:**
 
 ```rust

whisper-cpp-plus-sys/README.md

@@ -1,6 +1,6 @@
 # whisper-cpp-plus-sys
 
-> **Pinned to whisper.cpp v1.8.6-stream-pcm** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`ddfe1196`](https://github.com/rmorse/whisper.cpp/commit/ddfe1196ed8e88c670c0c7e3094ed204daf749ac))
+> **Pinned to whisper.cpp 1.9.4-dev** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`de8fb5fd`](https://github.com/rmorse/whisper.cpp/commit/de8fb5fda8b25837a2ba0034c8c24223a6fd6c6c), based on upstream `ggml-org/whisper.cpp` `master` after `v1.9.3`)
 
 Low-level FFI bindings to [whisper.cpp](https://github.com/ggerganov/whisper.cpp) for Rust.
 

whisper-cpp-plus-sys/build.rs

@@ -4,8 +4,8 @@ use std::path::{Path, PathBuf};
 #[path = "cuda_detect.rs"]
 mod cuda_detect;
 
-/// Pinned commit from rmorse/whisper.cpp (stream-pcm branch, based on v1.8.6)
-const WHISPER_CPP_VERSION: &str = "ddfe1196ed8e88c670c0c7e3094ed204daf749ac";
+/// Pinned commit from rmorse/whisper.cpp (stream-pcm branch, whisper.cpp 1.9.4-dev, based on upstream master after v1.9.3)
+const WHISPER_CPP_VERSION: &str = "de8fb5fda8b25837a2ba0034c8c24223a6fd6c6c";
 const WHISPER_CPP_REPO: &str = "rmorse/whisper.cpp";
 
 fn main() {

whisper-cpp-plus/README.md

@@ -1,6 +1,6 @@
 # whisper-cpp-plus
 
-> **Pinned to whisper.cpp v1.8.6-stream-pcm** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`ddfe1196`](https://github.com/rmorse/whisper.cpp/commit/ddfe1196ed8e88c670c0c7e3094ed204daf749ac))
+> **Pinned to whisper.cpp 1.9.4-dev** (fork: [`rmorse/whisper.cpp`](https://github.com/rmorse/whisper.cpp), branch: `stream-pcm`, commit [`de8fb5fd`](https://github.com/rmorse/whisper.cpp/commit/de8fb5fda8b25837a2ba0034c8c24223a6fd6c6c), based on upstream `ggml-org/whisper.cpp` `master` after `v1.9.3`)
 
 Safe Rust bindings for [whisper.cpp](https://github.com/ggerganov/whisper.cpp) with **real-time PCM streaming** and VAD support.
 
@@ -110,7 +110,7 @@ whisper-cpp-plus = { version = "0.1.5", features = ["cuda"] }
 - **Transcription** — `WhisperContext`, `WhisperState`, `FullParams`, `TranscriptionParams` builder
 - **Streaming** — `WhisperStream` for chunked real-time transcription
 - **StreamPCM** — `WhisperStreamPcm` for raw PCM input with VAD-driven processing
-- **VAD** — `WhisperVadProcessor` for Silero-based voice activity detection
+- **VAD** — `WhisperVadProcessor` for Silero-based voice activity detection. Use this (or `WhisperStreamPcm::with_vad` / the enhanced VAD) rather than whisper.cpp's built-in `whisper_full` VAD, which does not run for the per-state transcription this crate uses ([ggml-org/whisper.cpp#3423](https://github.com/ggml-org/whisper.cpp/pull/3423))
 - **Enhanced** — Temperature fallback + enhanced VAD aggregation for improved quality
 - **Quantization** — `WhisperQuantize` for model compression (feature = `quantization`)