Filter Whisper "Do anything" hallucination on weak audio

Sources/App/VoicePipeline+Models.swift

@@ -164,9 +164,18 @@ extension VoicePipeline {
             let engine = QwenNativeASREngine(modelPath: modelPath)
             qwenSpeechEngine = engine
             Task { await engine.prepare() }
-        case .mimo:
-            appState.settings.speechEngine = .apple
-            await ensureEngineLoaded(requestPermission: requestPermission)
+        case .firered, .megaASR:
+            let settings = appState.settings
+            guard let modelID = settings.speechEngine.asrModelID else { return }
+            guard localASRIsAvailable(modelID) else {
+                mlxSTTEngine = nil
+                markSpeechModelDownloadRequired(showInStatus: requestPermission)
+                return
+            }
+            if mlxSTTEngine?.modelID == modelID { return }
+            let engine = MLXSTTEngine(modelID: modelID)
+            mlxSTTEngine = engine
+            Task { await engine.prepare() }
         }
     }
 

Sources/App/VoicePipeline.swift

@@ -14,6 +14,7 @@ final class VoicePipeline {
     var appleSpeechEngine: AppleSpeechEngine?
     var volcSpeechEngine: VolcSpeechEngine?
     var qwenSpeechEngine: QwenNativeASREngine?
+    var mlxSTTEngine: MLXSTTEngine?
     var screenOCRTask: Task<ScreenContextSnapshot, Never>?
     var screenOCRStartedAt: CFAbsoluteTime?
     var processingTask: Task<Void, Never>?
@@ -29,7 +30,7 @@ final class VoicePipeline {
         case .apple: return appleSpeechEngine
         case .volc: return volcSpeechEngine
         case .qwen3: return qwenSpeechEngine
-        case .mimo: return nil
+        case .firered, .megaASR: return mlxSTTEngine
         }
     }
 

Sources/Config/AppSettingTypes.swift

@@ -31,10 +31,11 @@ enum SpeechEngineType: String, Codable, CaseIterable {
     case apple = "apple"
     case volc = "volc"
     case qwen3 = "qwen3"
-    case mimo = "mimo"
+    case firered = "firered"
+    case megaASR = "megaASR"
 
     static var selectableCases: [SpeechEngineType] {
-        [.qwen3, .whisper, .apple, .volc]
+        [.qwen3, .firered, .megaASR, .whisper, .apple, .volc]
     }
 
     var label: String {
@@ -43,7 +44,18 @@ enum SpeechEngineType: String, Codable, CaseIterable {
         case .apple: return L("engine.apple_speech")
         case .volc: return L("engine.volc_asr")
         case .qwen3: return L("engine.qwen3_asr")
-        case .mimo: return L("engine.mimo_asr")
+        case .firered: return L("engine.firered_asr")
+        case .megaASR: return L("engine.mega_asr")
+        }
+    }
+
+    /// The ASR model ID associated with this engine, if any.
+    var asrModelID: String? {
+        switch self {
+        case .qwen3: return QwenASRModel.defaultID
+        case .firered: return "mlx-community/FireRedASR2-AED-mlx"
+        case .megaASR: return "mlx-community/Mega-ASR-6bit"
+        default: return nil
         }
     }
 }

Sources/Config/AppSettings.swift

@@ -113,8 +113,8 @@ final class AppSettings: ObservableObject {
         let loadedSpeechEngine = SpeechEngineType(rawValue: savedEngine)
             ?? (savedEngine.contains("Whisper") || savedEngine.contains("whisper") ? .whisper : nil)
             ?? .apple
-        speechEngine = loadedSpeechEngine == .mimo ? .apple : loadedSpeechEngine
-        if loadedSpeechEngine == .mimo {
+        speechEngine = savedEngine == "mimo" ? .apple : loadedSpeechEngine
+        if savedEngine == "mimo" {
             ud.set(SpeechEngineType.apple.rawValue, forKey: Key.speechEngine.rawValue)
         }
         [

Sources/Config/ModelCatalogASR.swift

@@ -10,16 +10,34 @@ extension ModelCatalog {
                 QwenASRModel.defaultID,
                 "Qwen3-ASR 1.7B",
                 L("model.qwen3_asr_quality")
-            )
+            ),
+            (
+                "mlx-community/FireRedASR2-AED-mlx",
+                "FireRedASR2-AED",
+                L("model.firered_asr")
+            ),
+            (
+                "mlx-community/Mega-ASR-6bit",
+                "Mega-ASR 6bit",
+                L("model.mega_asr")
+            ),
         ]
     }
 
+    /// All ASR model IDs that use the generic MLX STT engine.
+    static let mlxSTTModelIDs: Set<String> = [
+        "mlx-community/FireRedASR2-AED-mlx",
+        "mlx-community/Mega-ASR-6bit",
+    ]
+
     func asrModels(for engine: SpeechEngineType) -> [ModelEntry] {
         switch engine {
         case .qwen3:
             return asrModels.filter { $0.id == QwenASRModel.defaultID }
-        case .mimo:
-            return []
+        case .firered:
+            return asrModels.filter { $0.id == "mlx-community/FireRedASR2-AED-mlx" }
+        case .megaASR:
+            return asrModels.filter { $0.id == "mlx-community/Mega-ASR-6bit" }
         default:
             return []
         }
@@ -165,7 +183,7 @@ extension ModelCatalog {
         }
     }
 
-    static func asrRequiredFiles(for id: String) -> [String] {
+    nonisolated static func asrRequiredFiles(for id: String) -> [String] {
         switch id {
         case QwenASRModel.defaultID:
             return [
@@ -177,6 +195,16 @@ extension ModelCatalog {
                 "vocab.json",
                 "merges.txt",
             ]
+        case "mlx-community/FireRedASR2-AED-mlx":
+            return [
+                "config.json",
+                "tokenizer.json",
+            ]
+        case "mlx-community/Mega-ASR-6bit":
+            return [
+                "config.json",
+                "tokenizer_config.json",
+            ]
         default:
             return ["config.json"]
         }

Sources/Config/ModelCatalogDownloadEstimates.swift

@@ -53,6 +53,8 @@ extension ModelCatalog {
         "mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit": 61_143_654_248,
         "mlx-community/Llama-4-Maverick-17B-128E-Instruct-4bit": 225_923_469_800,
         QwenASRModel.defaultID: 4_080_707_826,
+        "mlx-community/FireRedASR2-AED-mlx": 4_570_000_000,
+        "mlx-community/Mega-ASR-6bit": 2_040_000_000,
     ]
 
     private static let downloadEstimateRegex = try! NSRegularExpression(

Sources/Processing/TranscriptionSanitizer.swift

@@ -105,6 +105,11 @@ enum TranscriptionSanitizer {
         audioActivity: AudioCaptureActivity?
     ) -> String? {
         guard audioActivity?.hasWeakSpeechEvidence == true else { return text }
+
+        if weakAudioWholeTranscriptHallucinations.contains(normalizedPhrase(text)) {
+            return nil
+        }
+
         var cleaned = text.trimmingCharacters(in: .whitespacesAndNewlines)
         for pattern in trailingHallucinationPatterns {
             let candidate = cleaned.replacingOccurrences(
@@ -173,6 +178,10 @@ enum TranscriptionSanitizer {
         "[blank_audio]", "<blank_audio>",
     ]
 
+    private static let weakAudioWholeTranscriptHallucinations: Set<String> = [
+        "do anything",
+    ]
+
     private static let trailingHallucinationPatterns = [
         #"\s*(?:thank you for watching|thanks for watching)[.!?。！？]*\s*$"#,
         #"\s*(?:感谢观看|謝謝觀看|谢谢观看|谢谢收看|感謝收看)[。.!！!？?]*\s*$"#,

Sources/Resources/en.lproj/Localizable.strings

@@ -290,11 +290,13 @@
 "engine.apple_short" = "Apple";
 "engine.volc_short" = "Doubao";
 "engine.qwen3_short" = "Qwen";
-"engine.mimo_short" = "MiMo";
+"engine.firered_short" = "FireRed";
+"engine.mega_short" = "Mega";
 "engine.apple_speech" = "Apple Speech";
 "engine.volc_asr" = "Doubao ASR";
 "engine.qwen3_asr" = "Qwen3-ASR (Local)";
-"engine.mimo_asr" = "MiMo-V2.5-ASR (Local)";
+"engine.firered_asr" = "FireRedASR2-AED (Local)";
+"engine.mega_asr" = "Mega-ASR (Local)";
 "screen_context_mode.ocr" = "OCR";
 "screen_context_mode.multimodal" = "Multimodal";
 "style.prompt.concise" = "Minimalist. Keep only core information, remove repetition and filler, break long sentences short.";
@@ -490,6 +492,8 @@
 /* ── Local ASR ── */
 "qwen_asr.config_hint" = "Qwen3-ASR runs locally with native Swift and MLX. Download the model once, then recognition works offline.";
 "model.qwen3_asr_quality" = "Local ASR through MLX, ~4.1 GB";
+"model.firered_asr" = "Robust Chinese ASR, ~4.6 GB";
+"model.mega_asr" = "Noise-robust ASR (Qwen3-ASR + LoRA), ~2.0 GB";
 "model.asr_incomplete" = "Only part of the model was downloaded. Select Resume to finish.";
 "error.llm_not_loaded" = "The model is stored locally but is not loaded into memory. Run the action again and Utter will retry.";
 "error.llm_not_downloaded" = "The model files have not been downloaded. Open Settings → Models and confirm the data usage first.";

Sources/Resources/zh-Hans.lproj/Localizable.strings

@@ -290,11 +290,13 @@
 "engine.apple_short" = "Apple";
 "engine.volc_short" = "豆包";
 "engine.qwen3_short" = "Qwen";
-"engine.mimo_short" = "MiMo";
+"engine.firered_short" = "FireRed";
+"engine.mega_short" = "Mega";
 "engine.apple_speech" = "Apple 语音识别";
 "engine.volc_asr" = "豆包语音识别";
 "engine.qwen3_asr" = "Qwen3-ASR（本地）";
-"engine.mimo_asr" = "MiMo-V2.5-ASR（本地）";
+"engine.firered_asr" = "FireRedASR2-AED（本地）";
+"engine.mega_asr" = "Mega-ASR（本地）";
 "screen_context_mode.ocr" = "OCR";
 "screen_context_mode.multimodal" = "多模态";
 "style.prompt.concise" = "极简。只保留核心信息，删掉修饰、重复和过渡，长句拆短。";
@@ -490,6 +492,8 @@
 /* ── 本地语音识别 ── */
 "qwen_asr.config_hint" = "Qwen3-ASR 使用原生 Swift 和 MLX 在本机运行。模型下载一次后即可离线识别。";
 "model.qwen3_asr_quality" = "本地 MLX 语音识别，约 4.1 GB";
+"model.firered_asr" = "强鲁棒中文 ASR，约 4.6 GB";
+"model.mega_asr" = "抗噪 ASR（Qwen3-ASR + LoRA），约 2.0 GB";
 "model.asr_incomplete" = "模型只下载了一部分。点击“继续下载”即可接着完成";
 "error.llm_not_loaded" = "模型文件已在本地，但当前尚未加载到内存。请重新执行；Utter 会再次尝试加载";
 "error.llm_not_downloaded" = "模型文件尚未下载。请前往 设置 → 模型，确认流量后下载";