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use crate::transcribe::streaming_whisper_params;
use std::sync::{
atomic::{AtomicBool, Ordering},
Arc,
};
use whisper_rs::WhisperContext;
// ──────────────────────────────────────────────────────────────
// Streaming whisper transcription — progressive text output.
//
// Instead of batch (accumulate all audio → transcribe once),
// this transcribes in rolling windows while the user speaks:
//
// Audio chunks accumulate:
// [0s──────2s] → whisper → "Switch to monthly"
// [0s──────────────4s] → whisper → "Switch to monthly billing for"
// [0s──────────────────────6s] → whisper → "Switch to monthly billing for consultants"
// [0s──────────────────────────────8s] → (silence) → FINAL
//
// Key design decisions:
// - Full re-transcription on each pass (not incremental). Whisper
// is fast enough on the accumulated buffer because we're using
// the small/base model and utterances are short (<2 min).
// - No segment stitching needed. Until the configured cost ceiling we
// transcribe from t=0; longer speech uses the newest bounded window.
// Each pass replaces the previous, and the final still uses everything.
// - Partial results are emitted via callback; the final result on
// silence replaces all partials.
// - Uses the same WhisperContext (preloaded model) as batch mode.
//
// Why full re-transcription instead of incremental:
// Incremental (transcribe only the new 2s chunk) produces worse
// quality because whisper loses context from earlier speech.
// Full re-transcription from t=0 gives consistent output for typical
// utterances. Once the configured ceiling is reached, a rolling window
// prevents latency from growing without bound while keeping current speech
// available. Finalization retains the complete utterance.
//
// Performance budget:
// - base model: ~200ms for 10s audio on M-series
// - small model: ~500ms for 10s audio on M-series
// - Transcription runs on a background thread; audio capture
// continues uninterrupted on the main thread.
// ──────────────────────────────────────────────────────────────
/// How often to run partial transcription (in audio samples at 16kHz).
const PARTIAL_INTERVAL_SAMPLES: usize = 16000 * 2; // Every 2 seconds
/// Minimum audio length to attempt transcription (avoid noise-only runs).
const MIN_TRANSCRIBE_SAMPLES: usize = 16000; // 1 second
/// Default cap for partial transcription cost. See `StreamingWhisper::new` for
/// the full reasoning — past this many seconds of accumulated audio, partial
/// passes are skipped (the utterance still finalizes correctly).
pub const DEFAULT_PARTIAL_MAX_SECS: u32 = 30;
/// Result from a streaming transcription pass.
#[derive(Debug, Clone)]
pub struct StreamingResult {
/// The transcribed text (replaces any previous partial).
pub text: String,
/// Whether this is a final result (silence detected) or partial (still speaking).
pub is_final: bool,
/// Duration of audio transcribed in seconds.
pub duration_secs: f64,
}
/// Streaming whisper transcriber. Holds the accumulated audio buffer
/// and runs partial transcriptions at intervals.
pub struct StreamingWhisper {
/// All audio samples accumulated so far (16kHz mono f32).
audio_buffer: Vec<f32>,
/// Samples since last partial transcription.
samples_since_partial: usize,
/// The last partial text emitted (for dedup).
last_partial: String,
/// Number of CPU threads for whisper.
n_threads: i32,
/// Language hint (None = auto-detect).
language: Option<String>,
/// Whether we've created a state before (suppress init noise on subsequent calls).
has_created_state: bool,
/// Cap on partial-transcription window length, in samples at 16kHz. Past
/// this length, partials use the newest bounded window while finalization
/// still uses the complete utterance.
partial_max_samples: usize,
/// Optional session stop signal. Recording sidecars use this to abort an
/// in-flight Whisper pass so optional live evidence cannot hold capture
/// shutdown open after the WAV has been sealed.
abort_signal: Option<Arc<AtomicBool>>,
}
impl StreamingWhisper {
/// Create a new streaming transcriber with the default partial cap (30s).
pub fn new(language: Option<String>) -> Self {
Self::with_partial_max_secs(language, DEFAULT_PARTIAL_MAX_SECS)
}
/// Create a new streaming transcriber with a custom partial-cap limit
/// (in seconds). Past this many seconds of accumulated audio the partial
/// `state.full(...)` pass uses the newest bounded window. The utterance
/// still finalizes from its complete buffer via `finalize()` when the
/// caller (typically VAD/silence detection in `live_transcript.rs`)
/// decides the utterance is over.
///
/// Why this matters: partial cost is O(buffer_len). At ~200ms per 10s of
/// audio on Apple Silicon with the base model, a 60s buffer takes ~1.2s
/// per partial — slower than the 2s partial interval, so partials queue
/// up and fall further behind. 30s keeps each partial well under the
/// interval and stops the runaway.
pub fn with_partial_max_secs(language: Option<String>, partial_max_secs: u32) -> Self {
let partial_max_samples = (partial_max_secs as usize).saturating_mul(16000);
Self {
audio_buffer: Vec::with_capacity(16000 * 30), // pre-alloc 30s
samples_since_partial: 0,
last_partial: String::new(),
n_threads: num_cpus(),
language,
has_created_state: false,
partial_max_samples,
abort_signal: None,
}
}
/// Abort an in-flight Whisper pass when `abort_signal` becomes true.
///
/// Ordinary standalone streaming keeps the historical behavior. Capture
/// sidecars opt in because their draft/final evidence is optional and must
/// yield immediately to recording shutdown.
pub fn with_abort_signal(mut self, abort_signal: Arc<AtomicBool>) -> Self {
self.abort_signal = Some(abort_signal);
self
}
/// Feed audio samples. Returns a partial result if enough audio has
/// accumulated since the last transcription.
///
/// Once `audio_buffer` exceeds `partial_max_samples`, partials use the
/// newest bounded window to avoid CPU runaway while staying current during
/// long uninterrupted speech. `finalize()` still sees the full utterance.
pub fn feed(&mut self, samples: &[f32], ctx: &WhisperContext) -> Option<StreamingResult> {
self.audio_buffer.extend_from_slice(samples);
self.samples_since_partial += samples.len();
// Only transcribe if enough new audio AND enough total audio
if self.samples_since_partial >= PARTIAL_INTERVAL_SAMPLES
&& self.audio_buffer.len() >= MIN_TRANSCRIBE_SAMPLES
{
self.samples_since_partial = 0;
return self.transcribe(ctx, false);
}
None
}
/// Finalize: run one last transcription and return the final result.
/// Call this when silence is detected or the user stops.
pub fn finalize(&mut self, ctx: &WhisperContext) -> Option<StreamingResult> {
if self.audio_buffer.len() < MIN_TRANSCRIBE_SAMPLES {
return None;
}
self.transcribe(ctx, true)
}
/// Reset the buffer for the next utterance (keeps the model loaded).
pub fn reset(&mut self) {
self.audio_buffer.clear();
self.samples_since_partial = 0;
self.last_partial.clear();
}
/// Total audio duration accumulated so far.
pub fn duration_secs(&self) -> f64 {
self.audio_buffer.len() as f64 / 16000.0
}
fn transcription_window_start(&self, is_final: bool) -> usize {
if is_final || self.partial_max_samples == 0 {
0
} else {
self.audio_buffer
.len()
.saturating_sub(self.partial_max_samples)
}
}
/// Run whisper on the full accumulated buffer.
fn transcribe(&mut self, ctx: &WhisperContext, is_final: bool) -> Option<StreamingResult> {
// Suppress whisper's noisy C-level stderr output on subsequent state creations.
// The first call prints GPU/backend info (useful); subsequent calls repeat it (noise).
let mut state = if self.has_created_state {
// Redirect stderr to /dev/null during state creation
let state = suppress_stderr(|| ctx.create_state().ok());
state?
} else {
self.has_created_state = true;
ctx.create_state().ok()?
};
let mut params = streaming_whisper_params();
params.set_n_threads(self.n_threads);
params.set_language(self.language.as_deref());
if let Some(abort_signal) = self.abort_signal.as_ref().map(Arc::clone) {
params.set_abort_callback_safe(move || abort_signal.load(Ordering::Relaxed));
}
let start = std::time::Instant::now();
let window_start = self.transcription_window_start(is_final);
let transcription_audio = &self.audio_buffer[window_start..];
if let Err(e) = state.full(params, transcription_audio) {
tracing::warn!("streaming whisper failed: {}", e);
return None;
}
let elapsed_ms = start.elapsed().as_millis();
let duration_secs = transcription_audio.len() as f64 / 16000.0;
// Extract text from all segments
let num_segments = state.full_n_segments();
let mut text = String::new();
for i in 0..num_segments {
if let Some(seg) = state.get_segment(i) {
if let Ok(t) = seg.to_str_lossy() {
let t = t.trim();
if !t.is_empty() {
if !text.is_empty() {
text.push(' ');
}
text.push_str(t);
}
}
}
}
let text = text.trim().to_string();
// Skip if empty or identical to last partial (no new info)
if text.is_empty() {
return None;
}
if !is_final && text == self.last_partial {
return None;
}
tracing::debug!(
partial = !is_final,
words = text.split_whitespace().count(),
audio_secs = format!("{:.1}", duration_secs),
whisper_ms = elapsed_ms,
"streaming transcription"
);
self.last_partial = text.clone();
Some(StreamingResult {
text,
is_final,
duration_secs,
})
}
}
/// Temporarily suppress stderr (whisper C code prints noisy init logs).
fn suppress_stderr<T>(f: impl FnOnce() -> T) -> T {
#[cfg(unix)]
{
use std::os::unix::io::AsRawFd;
let stderr_fd = std::io::stderr().as_raw_fd();
let saved = unsafe { libc::dup(stderr_fd) };
if saved >= 0 {
let devnull = std::fs::OpenOptions::new()
.write(true)
.open("/dev/null")
.ok();
if let Some(ref dn) = devnull {
unsafe { libc::dup2(dn.as_raw_fd(), stderr_fd) };
}
let result = f();
unsafe { libc::dup2(saved, stderr_fd) };
unsafe { libc::close(saved) };
return result;
}
}
f()
}
fn num_cpus() -> i32 {
whisper_guard::params::num_cpus()
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn new_streaming_whisper_has_empty_buffer() {
let sw = StreamingWhisper::new(None);
assert_eq!(sw.duration_secs(), 0.0);
assert!(sw.audio_buffer.is_empty());
}
#[test]
fn feed_below_interval_returns_none() {
let mut sw = StreamingWhisper::new(None);
// Feed 1 second of silence (below 2s interval)
let silence = vec![0.0f32; 16000];
// We can't test with a real WhisperContext without a model,
// but we can verify the buffer grows correctly
sw.audio_buffer.extend_from_slice(&silence);
sw.samples_since_partial += silence.len();
assert_eq!(sw.duration_secs(), 1.0);
assert_eq!(sw.samples_since_partial, 16000);
}
#[test]
fn reset_clears_state() {
let mut sw = StreamingWhisper::new(Some("en".into()));
sw.audio_buffer.extend_from_slice(&[0.0; 16000]);
sw.samples_since_partial = 16000;
sw.last_partial = "hello".into();
sw.reset();
assert!(sw.audio_buffer.is_empty());
assert_eq!(sw.samples_since_partial, 0);
assert!(sw.last_partial.is_empty());
assert_eq!(sw.duration_secs(), 0.0);
}
#[test]
fn partial_max_samples_is_set_from_secs() {
let sw = StreamingWhisper::with_partial_max_secs(None, 45);
assert_eq!(sw.partial_max_samples, 45 * 16000);
let sw_default = StreamingWhisper::new(None);
assert_eq!(
sw_default.partial_max_samples,
DEFAULT_PARTIAL_MAX_SECS as usize * 16000
);
}
#[test]
fn zero_partial_max_disables_cap() {
let sw = StreamingWhisper::with_partial_max_secs(None, 0);
assert_eq!(sw.partial_max_samples, 0);
// A zero cap keeps the historical full-buffer partial behavior.
}
#[test]
fn long_partial_uses_recent_bounded_window_but_final_uses_everything() {
let mut sw = StreamingWhisper::with_partial_max_secs(None, 30);
sw.audio_buffer.resize(45 * 16000, 0.0);
assert_eq!(sw.transcription_window_start(false), 15 * 16000);
assert_eq!(sw.transcription_window_start(true), 0);
}
#[test]
fn recording_sidecar_abort_signal_is_explicit_and_shared() {
let stop = Arc::new(AtomicBool::new(false));
let sw = StreamingWhisper::new(None).with_abort_signal(Arc::clone(&stop));
let configured = sw.abort_signal.expect("abort signal should be configured");
assert!(!configured.load(Ordering::Relaxed));
stop.store(true, Ordering::Relaxed);
assert!(configured.load(Ordering::Relaxed));
}
}