feat: controller supports vocabulary bias, prompt-echo guard, corrector and result hook

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-01 14:54:49 +02:00
co-authored by Claude Sonnet 5.5
parent aec4aa7a5b
commit 7fbc182fa7
5 changed files with 236 additions and 7 deletions
+32 -7
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@@ -7,6 +7,8 @@ public final class DictationController {
}
public var onStateChange: ((DictationState) -> Void)?
public var onError: ((String) -> Void)?
/// Called with every finished transcription, just before it is inserted.
public var onResult: ((DictationResult) -> Void)?
private let recorder: AudioRecording
private let transcriber: Transcriber
@@ -14,16 +16,25 @@ public final class DictationController {
private let inserter: TextInserting
private let minimumSamples: Int
private let silenceThreshold: Float
private let corrector: TextCorrecting?
private let vocabularyProvider: () -> [String]
private let biasMinimumRMS: Float
/// - Parameter minimumSamples: 16 kHz samples; default is 0.3 s.
/// - Parameter silenceThreshold: RMS below which a recording counts as silence and is skipped.
/// - Parameter corrector: optional dictionary correction applied to the transcript.
/// - Parameter vocabularyProvider: words to bias the transcriber towards.
/// - Parameter biasMinimumRMS: below this RMS no vocabulary is passed (guards against invented text on quiet audio).
public init(
recorder: AudioRecording,
transcriber: Transcriber,
cleaner: Cleaner,
inserter: TextInserting,
minimumSamples: Int = 4_800,
silenceThreshold: Float = 0.005
silenceThreshold: Float = 0.005,
corrector: TextCorrecting? = nil,
vocabularyProvider: @escaping () -> [String] = { [] },
biasMinimumRMS: Float = 0.015
) {
self.recorder = recorder
self.transcriber = transcriber
@@ -31,6 +42,9 @@ public final class DictationController {
self.inserter = inserter
self.minimumSamples = minimumSamples
self.silenceThreshold = silenceThreshold
self.corrector = corrector
self.vocabularyProvider = vocabularyProvider
self.biasMinimumRMS = biasMinimumRMS
}
public func handle(_ event: HotkeyEvent) async {
@@ -49,24 +63,35 @@ public final class DictationController {
return
}
let energy = samples.reduce(0) { $0 + $1 * $1 }
guard (energy / Float(samples.count)).squareRoot() >= silenceThreshold else {
let rms = (energy / Float(samples.count)).squareRoot()
guard rms >= silenceThreshold else {
state = .idle
return
}
await process(samples)
await process(samples, rms: rms)
default:
break
}
}
private func process(_ samples: [Float]) async {
private func process(_ samples: [Float], rms: Float) async {
defer { state = .idle }
do {
state = .transcribing
let raw = try await transcriber.transcribe(samples)
let vocabulary = rms >= biasMinimumRMS ? vocabularyProvider() : []
let raw = try await transcriber.transcribe(samples, vocabulary: vocabulary)
let text = raw.trimmingCharacters(in: .whitespacesAndNewlines)
guard !text.isEmpty else { return }
let cleaned = try await cleaner.clean(text, context: CleaningContext())
guard !text.isEmpty, !PromptEcho.isEcho(text, vocabulary: vocabulary) else { return }
let corrected = corrector?.correct(text) ?? CorrectionResult(text: text, corrections: [])
let cleaned = try await cleaner.clean(corrected.text, context: CleaningContext())
onResult?(DictationResult(
date: Date(),
duration: Double(samples.count) / 16_000,
rawText: text,
finalText: cleaned,
// Offsets only stay valid if the cleaner left the corrected text alone.
corrections: cleaned == corrected.text ? corrected.corrections : []
))
state = .inserting
try await inserter.insert(cleaned)
} catch {
+21
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@@ -0,0 +1,21 @@
import Foundation
/// Whisper sometimes answers a vocabulary prompt with the prompt itself when there is little speech.
public enum PromptEcho {
static func normalize(_ text: String) -> String {
String(text.lowercased().map { $0.isLetter || $0.isNumber ? $0 : " " })
.split(separator: " ")
.joined(separator: " ")
}
/// True when `text` is nothing but the first k ≥ 2 terms of the prompt.
/// A single term on its own is valid speech ("Anthropic").
public static func isEcho(_ text: String, vocabulary: [String]) -> Bool {
guard vocabulary.count >= 2 else { return false }
let normalized = normalize(text)
guard !normalized.isEmpty else { return false }
return (2...vocabulary.count).contains { k in
normalize(vocabulary.prefix(k).joined(separator: " ")) == normalized
}
}
}
@@ -0,0 +1,124 @@
import Foundation
import Testing
@testable import SstCore
@MainActor
struct DictationControllerHooksTests {
let recorder = FakeRecorder()
let transcriber = FakeVocabularyTranscriber()
let inserter = FakeInserter()
static let loud = [Float](repeating: 0.1, count: 16_000)
static let quiet = [Float](repeating: 0.01, count: 16_000)
func makeController(
cleaner: Cleaner = FakeCleaner(),
corrector: TextCorrecting? = nil,
vocabulary: [String] = []
) -> DictationController {
DictationController(
recorder: recorder,
transcriber: transcriber,
cleaner: cleaner,
inserter: inserter,
corrector: corrector,
vocabularyProvider: { vocabulary }
)
}
func dictate(_ controller: DictationController) async {
await controller.handle(.pressed)
await controller.handle(.released)
}
@Test func loudRecordingPassesVocabularyToTranscriber() async {
recorder.samples = Self.loud
await dictate(makeController(vocabulary: ["Anthropic", "Vercel"]))
#expect(transcriber.vocabularies == [["Anthropic", "Vercel"]])
}
@Test func quietRecordingSkipsVocabularyButStillTranscribes() async {
recorder.samples = Self.quiet // RMS 0.01: above silence (0.005), below bias minimum (0.015)
await dictate(makeController(vocabulary: ["Anthropic", "Vercel"]))
#expect(transcriber.vocabularies == [[]])
#expect(inserter.inserted == ["[hallo wereld]"])
}
@Test func promptEchoIsDiscarded() async {
recorder.samples = Self.loud
transcriber.result = "Anthropic, Vercel."
let controller = makeController(vocabulary: ["Anthropic", "Vercel", "Supabase"])
var results: [DictationResult] = []
controller.onResult = { results.append($0) }
await dictate(controller)
#expect(inserter.inserted.isEmpty)
#expect(results.isEmpty)
#expect(controller.state == .idle)
}
@Test func singleVocabularyTermIsKept() async {
recorder.samples = Self.loud
transcriber.result = "Anthropic"
await dictate(makeController(vocabulary: ["Anthropic", "Vercel", "Supabase"]))
#expect(inserter.inserted == ["[Anthropic]"])
}
@Test func correctorRunsBeforeCleanerAndCorrectionsSurviveAPassthroughCleaner() async {
recorder.samples = Self.loud
transcriber.result = "hallo"
let controller = makeController(cleaner: PassthroughCleaner(), corrector: UppercaseCorrector())
var results: [DictationResult] = []
controller.onResult = { results.append($0) }
await dictate(controller)
#expect(inserter.inserted == ["HALLO"])
#expect(results.count == 1)
#expect(results[0].rawText == "hallo")
#expect(results[0].finalText == "HALLO")
#expect(results[0].corrections.count == 1)
}
@Test func correctionsAreDroppedWhenTheCleanerChangesTheText() async {
recorder.samples = Self.loud
transcriber.result = "hallo"
let controller = makeController(cleaner: FakeCleaner(), corrector: UppercaseCorrector())
var results: [DictationResult] = []
controller.onResult = { results.append($0) }
await dictate(controller)
#expect(results[0].finalText == "[HALLO]")
#expect(results[0].corrections.isEmpty)
}
@Test func resultIsReportedEvenWhenInsertionFails() async {
recorder.samples = Self.loud
inserter.error = TestError()
let controller = makeController()
var results: [DictationResult] = []
var errors: [String] = []
controller.onResult = { results.append($0) }
controller.onError = { errors.append($0) }
await dictate(controller)
#expect(results.count == 1)
#expect(errors.count == 1)
}
@Test func resultCarriesDurationAndDate() async {
recorder.samples = Self.loud // 16 000 samples = 1 s
let controller = makeController()
var results: [DictationResult] = []
controller.onResult = { results.append($0) }
let before = Date()
await dictate(controller)
#expect(results[0].duration == 1.0)
#expect(results[0].date >= before)
#expect(results[0].corrections.isEmpty)
}
}
+28
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@@ -41,3 +41,31 @@ final class FakeInserter: TextInserting {
inserted.append(text)
}
}
final class FakeVocabularyTranscriber: Transcriber {
var result = "hallo wereld"
private(set) var vocabularies: [[String]] = []
func transcribe(_ samples: [Float]) async throws -> String { result }
func transcribe(_ samples: [Float], vocabulary: [String]) async throws -> String {
vocabularies.append(vocabulary)
return result
}
}
struct UppercaseCorrector: TextCorrecting {
func correct(_ text: String) -> CorrectionResult {
let upper = text.uppercased()
return CorrectionResult(
text: upper,
corrections: [AppliedCorrection(heard: text, wrote: upper, rule: "upper", start: 0, length: upper.utf16.count)]
)
}
}
final class PassthroughCleaner: Cleaner {
func clean(_ text: String, context: CleaningContext) async throws -> String {
text
}
}
+31
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@@ -0,0 +1,31 @@
import Testing
@testable import SstCore
struct PromptEchoTests {
let vocabulary = ["Anthropic", "Vercel", "Supabase"]
@Test func firstTwoTermsAreAnEcho() {
#expect(PromptEcho.isEcho("Anthropic, Vercel.", vocabulary: vocabulary))
}
@Test func wholeListIsAnEcho() {
#expect(PromptEcho.isEcho("anthropic vercel supabase", vocabulary: vocabulary))
}
@Test func singleTermIsRealSpeech() {
#expect(!PromptEcho.isEcho("Anthropic", vocabulary: vocabulary))
}
@Test func termsOutOfOrderAreNotAnEcho() {
#expect(!PromptEcho.isEcho("Vercel, Anthropic", vocabulary: vocabulary))
}
@Test func sentenceContainingTermsIsNotAnEcho() {
#expect(!PromptEcho.isEcho("Ik gebruik Anthropic en Vercel", vocabulary: vocabulary))
}
@Test func tooShortVocabularyNeverEchoes() {
#expect(!PromptEcho.isEcho("Anthropic", vocabulary: ["Anthropic"]))
#expect(!PromptEcho.isEcho("", vocabulary: vocabulary))
}
}